B [email protected] Í achaldave.com Achal Dave github.com/achalddave
Education 2015–Present Ph.D. Student, Robotics Institute, Carnegie Mellon University. Advised by Prof. Deva Ramanan 2015–2018 Master of Science, Robotics Institute, Carnegie Mellon University. Advised by Prof. Deva Ramanan 2011–2015 Bachelor of Science, EECS, University of California, Berkeley.
Publications In Submission Evaluating Large-Vocabulary Object Detectors: The Devil is in the Details. Achal Dave, Piotr Dollár, Deva Ramanan, Alexander Kirillov, Ross Girshick. In Submission Open-3D-MOT: Open-World Three-Dimensional Multi-Object Tracking. Neehar Peri, Achal Dave, Rama Chellappa, Shu Kong, Deva Ramanan. In Submission Detecting Invisible People. Tarasha Khurana, Achal Dave, Deva Ra- manan. NeurIPS 2020 Measuring Robustness to Natural Distribution Shifts in Image Classifi- Spotlight cation. Rohan Taori, Achal Dave, Vaishaal Shankar, Nicholas Carlini, Benjamin Recht, Ludwig Schmidt. ECCV 2020 TAO: A Large-Scale Benchmark for Tracking Any Object. Achal Dave, Spotlight Tarasha Khurana, Pavel Tokmakov, Cordelia Schmid, Deva Ramanan. ICML Workshop Do Image Classifiers Generalize Across Time?. Vaishaal Shankar*, Achal 2019 Dave*, Rebecca Roelofs, Deva Ramanan, Benjamin Recht, Ludwig Schmidt. *Equal contribution ICCV Workshop Learning to Track Any Object. Achal Dave, Pavel Tokmakov, Cordelia 2019 Schmid, Deva Ramanan. ICCV Workshop Towards Segmenting Anything That Moves. Achal Dave, Pavel Tok- 2019 makov, Deva Ramanan. CVPR 2017 Predictive Corrective Networks for Action Detection. Achal Dave, Olga Russakovsky, Deva Ramanan.
Page 1 of 3 SUI 2014 HOBS: Head Orientation-Based Selection in Physical Spaces. Ben Zhang, Yu-Hsiang Chen, Claire Tuna, Achal Dave, Yang Li, Edward Lee, and Björn Hartmann.
Patents 02/2020 Audio classifier. Sourish Chaudhuri, Achal Dave, Bryan Seybold. Patent number: US10566009
Professional Activities Workshop Tracking and its many guises, ECCV ’20. Organizer Robust Video Scene Understanding: Tracking and Video Segmentation, to be held at CVPR ’21. Reviewer CVPR ’21, NeurIPS ’20 (outstanding reviewer), ECCV ’20, CVPR ’20, ICCV ’19, CVPR ’19, ECCV ’18, CVPR ’18, TPAMI Committees Masters: Tarasha Khurana, Krishna Uppala, Qiao Gu, Aaron Miller, Yubo served Zhang, Satyaki Chakraborty PhD: Helen Jiang, Senthil Purushwalkam Shiva Prakash, Leonid Keselman, Peiyun Hu Mentorship Tarasha Khurana, Master’s student advised by Deva Ramanan. { Co-author on ECCV spotlight paper, and lead author on a CVPR submission.
Research Experience Summer 2020 Intern, Facebook AI Research, Seattle, WA (Remote). Mentor: Ross Girshick. Worked on long-tail, large-vocabulary detection, collaborating with Alex Kirillov and Piotr Dollár. Summer 2017 Intern, Google Cloud, Sunnyvale, CA. Mentors: Prof. Juan Carlos Niebles, Prof. Fei-Fei Li. Worked on improving training of deep networks from streaming, correlated data, as opposed to the standard i.i.d. setting. 2014–2015 Research Assistant, UC Berkeley, Berkeley, CA. Mentors: Prof. Alexei Efros and Stella Yu. Worked on unsupervised mining of audiovisual consistencies from online videos; e.g. can we discover what animal meows, or what sound a violin makes from unlabeled videos?
Page 2 of 3 Summer 2015 Intern, Google Research, Mountain View, CA. Mentor: Sourish Chaudhuri Worked on improvements to undergraduate work on unsupervised mining of audiovisual consistencies. Work was patented in 2019. Summer 2014 Intern, Google Research, Mountain View, CA. Mentors: Rahul Garg, Navneet Dalal Trained deep models for real-time pose estimation and tracking in videos. Summer 2013 Intern, Flutter, Mountain View, CA. Mentor: Navneet Dalal Worked on estimating and improving rotational invariance of hand-based gesture detectors from webcams. Teaching Spring 2017 Teaching Assistant, Computer Vision (16-720), Carnegie Mellon University. Spring 2015 Head Teaching Assistant, Compilers (CS164), University of California, Berkeley.
Awards 2017 Uber Presidential Fellowship, Uber. 2015–2017 Presidential Scholar, Carnegie Mellon University. 2011–2015 Regents and Chancellors’ Scholar, University of California, Berkeley.
Other activities 2016–2017 RoboOrg (Robotics Insitute Grad Student Organization) Head, Carnegie Mellon University. As the graduate students’ organization of the Robotics Institute, RoboOrg organizes social events, trips, maintains the RoboLounge, and is involved in the strategic long-term planning of the RI.
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