Optimizing Average Precision Using Weakly Supervised Data. - Aseem Behl; C. V. Jawahar; M. Pawan Kumar (CVPR, 2014)

Learning to Rank Using High-Order Information. - Puneet Kumar Dokania; Aseem Behl; C. V. Jawahar; M. Pawan Kumar (ECCV (4), 2014)

Monocular vision based road marking recognition for driver assistance and safety. - Mohak Sukhwani; Suriya Singh; Anirudh Goyal; Aseem Behl; Pritish Mohapatra; Brijendra Kumar Bharti; C. V. Jawahar (ICVES, 2014)

Optimizing Average Precision Using Weakly Supervised Data. - Aseem Behl; Pritish Mohapatra; C. V. Jawahar; M. Pawan Kumar (IEEE Trans. Pattern Anal. Mach. Intell., 2015)

Bounding Boxes, Segmentations and Object Coordinates: How Important is Recognition for 3D Scene Flow Estimation in Autonomous Driving Scenarios? - Aseem Behl; Omid Hosseini Jafari; Siva Karthik Mustikovela; Hassan Abu Alhaija; Carsten Rother; Andreas Geiger 001 (ICCV, 2017)

PointFlowNet: Learning Representations for 3D Scene Flow Estimation from Point Clouds. - Aseem Behl; Despoina Paschalidou; Simon Donné; Andreas Geiger 001 (CoRR, 2018)

PointFlowNet: Learning Representations for Rigid Motion Estimation From Point Clouds. - Aseem Behl; Despoina Paschalidou; Simon Donné; Andreas Geiger 001 (CVPR, 2019)

Learning Situational Driving. - Eshed Ohn-Bar; Aditya Prakash 001; Aseem Behl; Kashyap Chitta; Andreas Geiger 001 (CVPR, 2020)

Exploring Data Aggregation in Policy Learning for Vision-Based Urban Autonomous Driving. - Aditya Prakash 001; Aseem Behl; Eshed Ohn-Bar; Kashyap Chitta; Andreas Geiger 001 (CVPR, 2020)

Label Efficient Visual Abstractions for Autonomous Driving. - Aseem Behl; Kashyap Chitta; Aditya Prakash 001; Eshed Ohn-Bar; Andreas Geiger 001 (IROS, 2020)

Computer Vision for Autonomous Vehicles: Problems, Datasets and State of the Art. - Joel Janai; Fatma Güney; Aseem Behl; Andreas Geiger 001 (Found. Trends Comput. Graph. Vis., 2020)

Towards Recognition as a Regularizer in Autonomous Driving. - Aseem Behl (2022)