This proposed challenge is part of a larger project on speed interviews. The overall goal of the project is help both recruiters and job candidates using automatic recommendations based on multi-media CVs.
In the proposed competition, participants will develop solutions for predicting two types of variables (1) personality traits (context variables) and (2) whether a person should be invited to a job interview (decision variable), having as inputs short video sequences (see Figure 1). The variable of interest for the evaluation of the challenge will be "invite-for-interview". In addition, participants will have to develop mechanisms that can explain the decision (recommendation) of the solution: i.e., to explain why (why not) would the developed solution rather invite a job candidate to an interview. The challenge is implemented as a collaborative competition, meaning that participants will have the opportunity to share part of their code and to receive points for this. The final evaluation of the challenge will consider: (1) performance for predicting the interview variable (quantitative evaluation, three winners); (2) performance of explanatory mechanisms using shared code from participants (qualitative coopetition evaluation, three winners).
Prerequisites: There are NO prerequisites to enter this challenge. The participants do not need to have participated to the previous challenges (1rst round or 2nd round). The winners of the previous challenges have made their code publicly available (1rs round and 2nd round).
The challenge will comprise two independent evaluations:
Task 1: For the quantitative task, the problem will be cast as a regression task:
Task 2: The secondary task is the same as in the previous challenge: predict scores for 5 personality traits (the so-called "big five").
The evaluation consists of computing the mean accuracy along each dimension (for all input videos) between the predicted continuous values and the continuous ground truth values. Accuracy is computed simply as 1 minus the absolute distance among the predicted value and the ground truth value.
Prizes will be attributed for task 1 only using the prediction accuracy, but we believe solving task 1 may help solving task 2.
The participants will have to provide a human-leggible text explanation motivating the decision to invite or not the candidate to an interview.
CHALEARN Contest Rules for ChaLearn Looking at People
Job Candidate Screening Coopetition 2017
Common terms used in these rules:
These are the official rules that govern how the ChaLearn Looking at People Job Candidate Screening Coopetition 2017 contest promotion will operate. This promotion will be simply referred to as the “contest” or the “challenge” throughout the rest of these rules and may be abbreviated on our website, in our documentation, and other publications as ChaLearn LAP 2017.
In these rules, “organizers”, “we,” “our,” and “us” refer to CHALEARN and MS refer to Microsoft; "participant”, “you,” and “yourself” refer to an eligible contest participant.
This is a skill-based contest and chance plays no part in the determination of the winner(s). The goals of the contest are twofold: (1) to predict whether a person should or should not be invited to a job interview starting form short video clips; (2) to develop an interface that can explain the predictions of the system; where an additional implicit goal is code sharing among participants, as this challenge is a collaborative competition. The challenge is called job candidate screening coopetition.
Focus of the Contest: It will be made available a dataset of about 10,000 15-second videos collected from YouTube, annotated by AMT workers with personality traits and an invite-for-interview variable. The videos are accompanied by speech transcriptions and can be used by participants. The traits will correspond to the “big five” personality traits used in psychology and well known of hiring managers using standardized personality profiling: extraversion, agreeableness, conscientiousness, neuroticism, and openness to experience. The invite-for-interview variable indicates whether the person in the video should or should not invited for an interview. Ground truth data was generated by using crowd sourcing (AMT) on the basis of a rigorous methodology. There will be two tracks in the challenge:
Quantitative track. Participants will have to develop automatic methods for predicting the invite-for-interview variable from video clips. Participants can decide to use or not the personality traits variables provided with development data.
Qualitative coopetition track. Participants will have to develop an interface that explains the decisions and recommendations of the methods developed for the quantitative track.
In addition, participants will be evaluated according to the usefulness of their code, as this challenge implements a collaborative competition scheme.
All eligible entries received will be judged using the criteria described below to determine winners.
The registered participants will be notified by email of any change in the schedule.
10th January, 2017: Beginning of the quantitative competition, prediction of invite-for-interview variable, release of development (with labels) and validation data (without labels).
3th February, 2017: Release of encrypted final evaluation data (without labels). Participants can start training their methods with the whole data set.
10th February, 2017: Code and fact sheets submission deadline / release decryption key for test data.
15th February, 2017: End of the quantitative competition. Start of qualitative competition. Code is shared among participants.
3rst April, 2017: Start of qualitative test stage. Qualitative coopetition code and fact sheets submission deadline.
10th April, 2017: End of qualitative coopetition.
15th April, 2017: Public list of winners available. Both quantitative and qualitative rankings after code verification will be published.
1rst May, 2017: Deadline for submitting papers to the associated workshop.
10th May, 2017: Paper notification.
18th May, 2017: Deadline for submission of camera ready papers.
You are eligible to enter this contest if you meet the following requirements:
You are an individual or a team of people desiring to contribute to the tasks of the challenge and accepting to follow its rules; you are employed by a research laboratory, startup or other legal entity having a scientific research department or activity ; and
You are NOT a resident of any country constrained by US export regulations included in the OFAC sanction page http://www.treasury.gov/resource-center/sanctions/Programs/Pages/Programs.aspx. Therefore residents of these countries / regions are not eligible to participate; and
You are not anemployee of CHALEARN or any of the sponsoring or co-organizing entities, including Microsoft, Disney; and
You are not involved in any part of the administration and execution of this contest; and
You are not an immediate family (parent, sibling, spouse, or child) or household member of an employee of CHALEARN, Microsoft, Disney, or a person involved in any part of the administration and execution of this contest.
This contest is void within the geographic area identified above and wherever else prohibited by law.
If you choose to submit an entry, but are not qualified to enter the contest, this entry is voluntary, and any entry you submit is governed by the remainder of these contest rules; CHALEARN reserves the right to evaluate it for scientific purposes. If you are not qualified to submit a contest entry and still choose to submit one, under no circumstances will such entries qualify for sponsored prizes.
To be eligible for judging, an entry must meet the following content/technical requirements:
Entry contents: The participants are required to submit prediction results and code. To be eligible for prizes, the top ranking participants are required to publicly release their code under a license of their choice, taken among popular OSI-approved licenses (http://opensource.org/licenses) and make their code accessible on-line for a period of not less than three years following the end of the challenge (only required for top three ranked participants of the competition). To be part of the final ranking the participants will be asked to fill out a survey (fact sheet) briefly describing their method. The top ranking participants and the rest of participants are also invited (not mandatory) to submit a maximum 8-page paper for the proceedings of the CVPR 2017 ChaLearn Workshop on Explainable Computer Vision (to be held in July 2017). To be eligible for prizes, top ranked participants score must improve the baseline performance provided by the challenge organizers.
Pre-requisite: There is no pre-requisite to participate, including no requirement to have participated in previous challenges.
Use of data provided: All data provided by CHALEARN are freely available to the participants from the website of the challenge under license terms provided with the data. The data are available only for open research and educational purposes, within the scope of the challenge. ChaLearn and the organizers make no warranties regarding the database, including but not limited to warranties of non-infringement or fitness for a particular purpose. The copyright of the videos remains in property of their respective owners. By downloading and making use of the data, you accept full responsibility for using the data. You shall defend and indemnify ChaLearn and the organizers, including their employees, Trustees, officers and agents, against any and all claims arising from your use of the data. You agree not to redistribute the data without this notice.
The organizers will use test data to perform the final evaluation, hence the participants’ final entry will be based on test data.
Training and validation data:
The contest organizers will make available to the participants a training dataset with truth labels, and a validation set with no truth labels. The validation data will be used by the participants for practice purposes to validate their systems. It will be similar in composition to the test set (validation labels may be provided in the final test stage of the challenge).
The organizers may also perform additional post-challenge analyses using extra data, but the results will not affect the ranking of the challenge performed with the test data.
Submission: The entries of the participants will be submitted on-line via the Codalabweb platform. During the development period (quantitative competition), the participants will receive immediate feedback on validation data released for practice purpose. For the final quantitative evaluation, the results will be computed automatically on test data submissions. The performances on test data will not be released until the challenge is over. A jury of experts using test data will perform the qualitative evaluation of explanatory interfaces.
Original work, permissions: In addition, by submitting your entries into this contest you confirm that, to the best of your knowledge:
Your entry is your own original work, and exception being those participants of the coopetition using code shared by other participants; and
Your entry only includes material that you own, or that you have permission from the copyright / trademark owner to use.
Other than what is set forth below, we are not claiming any ownership rights to your entry. However, by submitting your entry, you:
Are granting us an irrevocable, worldwide right and license, in exchange for your opportunity to participate in the contest and potential prize awards, for the duration of the protection of the copyrights to:
Use, review, assess, test and otherwise analyze results submitted or produced by your code and other material submitted by you in connection with this contest and any future research or contests sponsored by CHALEARN and Microsoft; and
Feature your entry and all its content in connection with the promotion of this contest in all media (now known or later developed);
Agree to sign any necessary documentation that may be required for us and our designees to make use of the rights you granted above;
Understand and acknowledge that Microsoft and other entrants may have developed or commissioned materials similar or identical to your submission and you waive any claims you may have resulting from any similarities to your entry;
Understand that we cannot control the incoming information you will disclose to our representatives or our co-sponsor’s representatives in the course of entering, or what our representatives will remember about your entry. You also understand that we will not restrict work assignments of representatives or our co-sponsor’s representatives who have had access to your entry. By entering this contest, you agree that use of information in our representatives’ or our co-sponsor’s representatives unaided memories in the development or deployment of our products or services does not create liability for us under this agreement or copyright or trade secret law;
Understand that you will not receive any compensation or credit for use of your entry, other than what is described in these official rules.
If you do not want to grant us these rights to your entry, please do not enter this contest.
Follow the instructions on the Codalab website to submit entries.
The participants will be registered as mutually exclusive teams. Each team may submit only one single final entry. We are not responsible for entries that we do not receive for any reason, or for entries that we receive but are not functioning properly.
The participants must follow the instructions. We will automatically disqualify incomplete or invalid entries.
The board of CHALEARN will select a panel of judges to judge the entries; all judges will be forbidden to enter the contest and will be experts in causality, statistics, machine learning, computer vision, or a related field, or experts in challenge organization. A list of the judges will be made available upon request. The judges will review all eligible entries received and select three winners for each of the two tracks. For the quantitative competition winners will be determined based upon the prediction score on test data. For the qualitative track, a jury of experts will evaluate the explanations generated by the interface and the interface itself, the criteria for evaluation are available in the challenge website. The judges will verify that the winners complied with the rules, including that they documented their method by filling out a fact sheet.
The decisions of these judges are final and binding. The distribution of prizes according to the decisions made by the judges will be made within three (3) months after completion of the last round of the contest. If we do not receive a sufficient number of entries meeting the entry requirements, we may, at our discretion based on the above criteria, not award any or all of the contest prizes below. In the event of a tie between any eligible entries, the tie will be broken by giving preference to the earliest submission, using the time stamp of the submission platform.
Prizes and Awards
Microsoft, ChaLearn, University of Barcelona, Human Pose Recovery and Behavior Analysis Group are the financial sponsors of this contest. There will be economic incentive prizes and travel grants for the winners (based on availability) to boost contest participation; these prizes will not require participants to enter into an IP agreement with any of the sponsors, to disclose algorithms, or to deliver source code to them.
Incentive Prizes for each track
Award certificates and travel awards (based on availability) will be attributed to the top 3 ranked participants of each track. In addition top ranked participants will be invited to write a joint paper with the organizers to be submitted to a top ranked journal (e.g., TPAMI).
(*) The amount of travel awards will be based on need and availability. The travel award may be used for one of the workshops organized in conjunction with the challenge. The award money will be granted in reimbursement of expenses including airfare, ground transportation, hotel, or workshop registration. Reimbursement is conditioned on (i) attending the workshop, (ii) making an oral presentation of the methods used in the challenge, and (iii) presenting original receipts and boarding passes.
Other travel awards may be distributed to deserving participants based upon need and availability.
If for any reason the advertised prize is unavailable, unless to do so would be prohibited by law, we reserve the right to substitute a prize(s) of equal or greater value, as permitted. We will only award one prize per team. If you are selected as a potential winner of this contest:
If your prize is not in cash, you may not exchange your prize for cash; you may not exchange any prize for other merchandise or services.
You may not designate someone else as the winner. If you are unable or unwilling to accept your prize, we will award it to an alternate potential winner.
If you accept a prize, you will be solely responsible for all applicable taxes related to accepting the prize.
If you are a minor in your place of residence, we may award the prize to your parent/legal guardian on your behalf and your parent/legal guardian will be designated as the winner.
Other Sponsored Events
To stimulate participation, the organizers are making available several channels of scientific paper publication. Publishing papers is optional and will not be a condition to entering the challenge or winning prizes.
The results of the challenge will be published in the CVPR 2017 ChaLearn Workshop on Explainable Computer Vision proceedings. A selection of the best workshop papers may be invited to submit extended versions of their papers for a book of in the Springer Series on Challenges in Machine Learning. Also, the top ranked participants and/or those developing innovative solutions may be invited to write a joint paper with the organizers to be submitted to a top tier journal.
The organizers may also sponsor other events to stimulate participation.
If there is any change to data, schedule, instructions of participation, or these rules, the registered participants will be notified at the email they provided with the registration.
If you are a potential winner, we will notify you by sending a message to the e-mail address listed on your final entry within seven days following the determination of winners. If the notification that we send is returned as undeliverable, or you are otherwise unreachable for any reason, we may award the prize to an alternate winner, unless forbidden by applicable law.
Winners who have entered the contest as a team will be responsible to share any prize among their members. The prize will be delivered to the registered team leader. If this person becomes unavailable for any reason, the prize will be delivered to be the authorized account holder of the e-mail address used to make the winning entry.
If you are a potential winner, we may require you to sign a declaration of eligibility, use, indemnity and liability/publicity release and applicable tax forms. If you are a potential winner and are a minor in your place of residence, and we require that your parent or legal guardian will be designated as the winner, and we may require that they sign a declaration of eligibility, use, indemnity and liability/publicity release on your behalf. If you, (or your parent/legal guardian if applicable), do not sign and return these required forms within the time period listed on the winner notification message, we may disqualify you (or the designated parent/legal guardian) and select an alternate selected winner.
We will post changes in the rules or changes in the data as well as the names of confirmed winners (after contest decisions are made by the judges) online on http://gesture.chalearn.org/ and http://chalearnlap.cvc.uab.es/. This list will remain posted for one year or will be made available upon request by sending email to firstname.lastname@example.org.
Conditions. By entering this contest you agree:
To abide by these official rules;
To the extent allowable under applicable law, to release and hold harmless CHALEARN and sponsors, their respective parents, subsidiaries, affiliates, employees and agents from any and all liability or any injury, loss, damage, right, claim or action of any kind arising from or in connection with this contest or any prize won save for residents of the United Kingdom, Chile, Korea, Greece, Brazil, Turkey, Hong Kong, France and Germany with respect to claims resulting from death or personal injury arising from CHALEARN’s and Microsoft and University of Barcelona’s negligence, for residents of the United Kingdom with respect to claims resulting from the tort of deceit or any other liabilities that may not be excluded by law, and for residents of Australia in respect of any implied condition or warranty the exclusion of which from these official rules would contravene any statute or cause any part of these official rules to be void;
That CHALEARN’s decisions will be final and binding on all matters related to this contest; and
That by accepting a prize, CHALEARN and competition sponsors may use your team name, your name, and your place of residence online and in print, or in any other media, in connection with this contest, without payment or compensation to you. The declaration of eligibility, use, indemnity and liability/publicity release provided to the potential winner will make reference to obtaining his/her free consent to use his/her name and place of residence. In any case, the lack of such consent does not prevent the winner from receiving the prize.
This contest will be governed by the laws of the state of California, and you consent to the exclusive jurisdiction and venue of the courts of the state of California for any disputes arising out of this contest. For residents of Austria only: you may withdraw your submission from this contest within seven days of your entry. If you withdraw within seven days of entry, your submission will be returned to you, and we will not make any use of your submission in the future. However, you will not be eligible to win a prize. If you do not withdraw within seven days of entry, you will be bound by the provisions of these official rules. For residents of the United Kingdom only: the provisions of the contracts (rights of third parties) act 1999 will not apply to this agreement. For residents of New Zealand only: the provisions of the contracts (privity) act of 1982 will not apply to this agreement.For Quebec residents: any litigation respecting the conduct or organization of a publicity contest may be submitted to the Régie des Alcools, des Courses et des Jeux for ruling. Any litigation respecting the awarding of a prize may be submitted to the Régie only for the purpose of helping the parties reach a settlement. For residents of Israel only: this agreement does not entitle third parties to benefits under this agreement as defined in Chapter “D” of the Contracts Act (General Part) – 1973.
The data are available only for research and educational purposes, within the scope of the challenge. ChaLearn and the organizers make no warranties regarding the database, including but not limited to warranties of non-infringement or fitness for a particular purpose. The copyright of the videos remain the property of their respective owners. By downloading and making use of the data, you accept full responsibility for using the data. You shall defend and indemnify ChaLearn and the organizers, including their employees, Trustees, officers and agents, against any and all claims arising from your use of the data. You agree not to redistribute the data without this notice.
If an unforeseen or unexpected event (including, but not limited to: someone cheating; a virus, bug, or catastrophic event corrupting data or the submission platform; someone discovering a flaw in the data or modalities of the challenge) that cannot be reasonably anticipated or controlled, (also referred to as force majeure)affects the fairness and / or integrity of this contest, we reserve the right to cancel, change or suspend this contest. This right is reserved whether the event is due to human or technical error. If a solution cannot be found to restore the integrity of the contest, we reserve the right to select winners based on the criteria specified above from among all eligible entries received before we had to cancel, change or suspend the contest subject to obtaining the approval from the Régie des Alcools, des Courses et des Jeux with respect to the province of Quebec.
Computer “hacking” is unlawful. If you attempt to compromise the integrity or the legitimate operation of this contest by hacking or by cheating or committing fraud in any way, we may seek damages from you to the fullest extent permitted by law. Further, we may ban you from participating in any of our future contests, so please play fairly.
ChaLearn is the sponsor of this contest.
955 Creston Road,
Berkeley, CA 94708, USA
Microsoft, University of Barcelona, Human Pose Recovery and Behavior Analysis group, and Disney, are the co-sponsors of this contest. Additional sponsors can be added during the competition period.
Certificate of acceptation of prize for ChaLearn Looking at People Job Candidate Screening Coopetition 2017
Country of residence:
Date of birth:
Rank in challenge:
By accepting this prize, I certify that I have read and understood the rules of the challenge and that I am a representative of the team authorized to receive the prize and sign this document.
To the best of my knowledge, all the team members followed the rules and did not cheat in participating to the challenge. I certify that team complied with all the challenge requirements, including that:
- The team publicly released the source code of the software necessary to reproduce the final entry at email@example.com and http://gesture.chalearn.org/ under a public license, taken among popular OSI-approved licenses (http://opensource.org/licenses). The code will remain publicly accessible on-line for a period of not less than three years following the end of the challenge.
- The team filled out the requested survey (fact sheet) and, to the best of my knowledge, all information provided is correct.
- The team is invited (not mandatory) to submit a maximum of 8-page paper to the CVPR ChaLearn LAP 2017 workshop summarizing their contribution in the contest.
I recognize that I am solely responsible for all applicable taxes related to accepting the prize. NOTE: IF A PRIZE IS DONATED BY CHALEARN, THE RECIPIANT MUST FILL OUT A W9 OR W8BEN FORM
I grant CHALEARN, ChaLearn LAP 2017 competition sponsors, and the contest organizers the right to use, review, assess, test and otherwise analyze results submitted and other material submitted by you in connection with this contest and any future research or contests sponsored by CHALEARN and co-sponsors of this competition the right to feature my entry and all its content in connection with the promotion of this contest in all media (now known or later developed).
CHALEARN and ChaLearn LAP 2017 competition sponsors may use the name of my team, my name, and my place of residence online and in print, or in any other media, in connection with this contest, without payment or compensation.
The ChaLearn Looking at People Job Candidate Screening 2017 Coopetition - 12 -
Start: Jan. 10, 2017, midnight
Description: Quantitative stage.
Start: Feb. 10, 2017, midnight
Description: Quantitative stage.
Start: Feb. 16, 2017, 11:59 p.m.
Description: Detailed information about this phase (instructions, submission sample, etc) can be found at http://chalearnlap.cvc.uab.es/challenge/23/track/22/description/
Start: April 3, 2017, 11:59 p.m.
Description: Detailed information about this phase (instructions, submission sample, etc) can be found at http://chalearnlap.cvc.uab.es/challenge/23/track/22/description/
April 10, 2017, 11:59 p.m.
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