Graduate Research Assistant at UC San Diego
I am currently a Ph.D. student in the Department of Computer Science and Engineering at UC San Diego. I work in the Cognitive Robotics Lab under the supervision of Dr. Henrik I. Christensen. Prior to this, I obtained an M.S. degree in Electrical and Computer Engineering from UC San Diego, and a B.E. degree in Electrical Engineering from Indian Institute of Engineering Science and Technology (IIEST) Shibpur.
Advisor - Dr. Henrik I. Christensen
Research Interests - Machine Learning, Computer Vision, Robotics
Major - Intelligent Systems, Robotics and Control
Advisors - Dr. Henrik I. Christensen & Dr. Nuno Vasconcelos
Title - Fabrication of Prototype Apparatus for Control System Experiments
Advisors - Dr. Aparajita Sengupta & Dr. Suvarun Dalapati
Description - Object recognition for robot localization and mapping in unknown scenes.
Description - Studying bias of action-recognition datasets towards representations and algorithms.
Description - Defined perception algorithms for behavior of multiple agents of the NAO Humanoid, and simulated them using CABSL/XABSL.
2. A. Pal, S. Mondal, and H. I. Christensen, ““Looking at the right stuff” - Guided semantic-gaze for autonomous driving,” in Proceedings of the IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, USA, Jun. 2020. [arXiv][Code][Website]
1. A. Pal, C. Nieto-Granda, and H. I. Christensen, “DEDUCE: Diverse scEne Detection methods in Unseen Challenging Environments,” in Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Macau, China, Nov. 2019. [paper][arXiv][Code][Website]
2. Y. Qiu*, A. Pal*, and H. I. Christensen, “Learning hierarchical relationships for object-goal navigation”
1. A. Pal, Z. Ren, Y. Li, N. Vasconcelos and H. I. Christensen, “A Deeper Look at Action Recognition Datasets and Algorithms via Representation Bias”
*Equal Contribution
1. Optical Flow Based Video Classification with Visual Attention using Recurrent Convolutional Neural Network. [Report][Slides]
2. AgeGAN: Age Progression/Regression and Estimation. [Report][Slides]
3. Lyrics Web Scraping and Text Mining Analysis. [Slides][Code]
4. Object Detection in Autonomous Driving Scenario. [Report][Code]