Hazard Perception in Intelligent Vehicles (HPIV)

In conjunction with IEEE Winter Conference on Applications of Computer Vision (WACV)

One day workshop on 8th January 2022 from 12:00 to 19:00 (GMT). All times are in GMT

12:00 - 12:05 Welcome

12:05 - 12:50 Keynote 1: Professor Arjun Jain (Co-Founder and CEO - UAVIO Labs, Adjunct Faculty, Indian Institute of Science (IISc) Bangalore, India)
Title: Self-driving at scale: where are we headed?

12:50 - 13:30 Invited Talks

Invited Talk 1 - Jogendra Nath Kundu (Facebook AI Research, IISc Bangalore). Title: Generalize then Adapt: Source-Free Domain Adaptive Semantic Segmentation.

Invited Talk 2 - Sravanti Addepalli (IISc Bangalore). Title: Efficient Defenses against Real World Adversarial Attacks.

13:30 - 13:40 Short coffee break

13:40 - 14:25 Paper Presentations

Paper 1: Robust 3D Object Detection for Moving Objects Based on PointPillars. Ryota Nakamura (Kyushu Institute of Technology); Shuichi Enokida (Kyushu Institute of Technology).

Paper 2: Weakly-Supervised Free Space Estimation through Stochastic Co-Teaching. François Robinet (University of Luxembourg); Claudia Parera (University of Luxemborug); Christian Hundt (NVIDIA AI Technology Center); Raphael Frank (University of Luxembourg).

Paper 3: Attention Augmented Real Time 3D Object Detection. Abhinav Sagar (VIT Vellore)

14:25 - 15:10 Keynote 2: Professor C. V. Jawahar, Professor & Amazon Chair Professor, Center for Visual Information Technology (CVIT), International Institute of Information Technology, Hyderabad, India
Title: Towards Safe Driving in Unstructured Environments

15:10 - 15:40 Lunch break

15:40 - 16:25 Keynote 3: Professor Mohan M. Trivedi (Electrical and Computer Engineering, Jacobs School of Engineering, University of California, San Diego, USA)
Title: On Perception and Transition Controls for Safe Autonomous Driving

16:25 - 17:05 Invited Talks

Invited Talk 3 - Rohan Chandra (University of Maryland). Title: Autonomous Driving in Dense, Heterogeneous, and Unstructured Traffic Environments.

Invited Talk 4 - Asish Bera (Edge Hill University, SRM University). Title: Key-point based deep attentional networks for driver’s distraction state recognition.

17:05 - 17:15 Short coffee break

17:15 - 18:00 Paper Presentations

Paper 4: On Salience-Sensitive Sign Classification in Autonomous Vehicle Path Planning: Experimental Explorations with a Novel Dataset. Ross E Greer (University of California, San Diego); Jason Isa (University of California, San Diego); Nachiket Deo (University of California San Diego); Akshay Rangesh (University of California San Diego); Mohan Trivedi (University of California, San Diego).

Paper 5: More or Less (MoL): Defending against Multiple Perturbation Attacks on Deep Neural Networks through Model Ensemble and Compression. Hao Cheng (Northeastern University), Kaidi Xu (Drexel University), Zhengang Li (Northeastern University); Pu Zhao (Northeastern University), Chenan Wang (Northeastern University), Xue Lin (Northeastern University), Bhavya Kailkhura (Lawrence Livermore National Lab), Ryan Goldhahn (Lawrence Livermore National Lab).

Paper 6: Monocular Depth Estimation Using Multi Scale Neural Network And Feature Fusion. Abhinav Sagar (VIT Vellore)

18:00 - 18:45 Keynote 4: Professor Ming C. Lin, Elizabeth Stevinson Iribe Chair of Computer Science, Distinguished University Professor, Department of Computer Science, University of Maryland, USA
Title: From Learning-based Traffic Reconstruction to Autonomous Driving.

18:45 - 18:55 Closing Remarks