Geometry directed browser for personal photographs. - Aditya Deshpande; Siddharth Choudhary; P. J. Narayanan; Krishna Kumar Singh; Kaustav Kundu; Aditya Singh; Apurva Kumar (ICVGIP, 2012)

Rent3D: Floor-plan priors for monocular layout estimation. - Chenxi Liu; Alexander G. Schwing; Kaustav Kundu; Raquel Urtasun; Sanja Fidler (CVPR, 2015)

3D Object Proposals for Accurate Object Class Detection. - Xiaozhi Chen; Kaustav Kundu; Yukun Zhu; Andrew G. Berneshawi; Huimin Ma 001; Sanja Fidler; Raquel Urtasun (NIPS, 2015)

Monocular 3D Object Detection for Autonomous Driving. - Xiaozhi Chen; Kaustav Kundu; Ziyu Zhang; Huimin Ma 001; Sanja Fidler; Raquel Urtasun (CVPR, 2016)

Exploiting Semantic Information and Deep Matching for Optical Flow. - Min Bai; Wenjie Luo 002; Kaustav Kundu; Raquel Urtasun (ECCV (6), 2016)

Deep Semantic Matching for Optical Flow. - Min Bai; Wenjie Luo 002; Kaustav Kundu; Raquel Urtasun (CoRR, 2016)

Annotating Object Instances with a Polygon-RNN. - Lluís Castrejón; Kaustav Kundu; Raquel Urtasun; Sanja Fidler (CVPR, 2017)

Order review and release methods in internal logistics of a MTO company. - Kaustav Kundu; Alberto Portioli-Staudacher (SOLI, 2017)

SurfConv: Bridging 3D and 2D Convolution for RGBD Images. - Hang Chu; Wei-Chiu Ma; Kaustav Kundu; Raquel Urtasun; Sanja Fidler (CVPR, 2018)

Pose Estimation for Objects with Rotational Symmetry. - Enric Corona; Kaustav Kundu; Sanja Fidler (IROS, 2018)

3D Object Proposals Using Stereo Imagery for Accurate Object Class Detection. - Xiaozhi Chen; Kaustav Kundu; Yukun Zhu; Huimin Ma 001; Sanja Fidler; Raquel Urtasun (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

Exploiting weakly supervised visual patterns to learn from partial annotations. - Kaustav Kundu; Joseph Tighe (NeurIPS, 2020)

A Simulation-Based Optimization Method for Warehouse Worker Assignment. - Odkhishig Ganbold; Kaustav Kundu; Haobin Li; Wei Zhang (Algorithms, 2020)

Positive-Congruent Training: Towards Regression-Free Model Updates. - Sijie Yan; Yuanjun Xiong; Kaustav Kundu; Shuo Yang 003; Siqi Deng; Meng Wang; Wei Xia; Stefano Soatto (CVPR, 2021)

An Assessment of Order Release Models in Hybrid MTO-MTS Flow Shop with Bottleneck. - Federica Costa; Kaustav Kundu; Alberto Portioli-Staudacher (APMS (5), 2021)

What to look at and where: Semantic and Spatial Refined Transformer for detecting human-object interactions. - A. S. M. Iftekhar; Hao Chen 024; Kaustav Kundu; Xinyu Li 003; Joseph Tighe; Davide Modolo (CVPR, 2022)

Id-Free Person Similarity Learning. - Bing Shuai; Xinyu Li 003; Kaustav Kundu; Joseph Tighe (CVPR, 2022)

Hierarchical Self-supervised Representation Learning for Movie Understanding. - Fanyi Xiao; Kaustav Kundu; Joseph Tighe; Davide Modolo (CVPR, 2022)

TubeR: Tubelet Transformer for Video Action Detection. - Jiaojiao Zhao; Yanyi Zhang; Xinyu Li 003; Hao Chen 024; Bing Shuai; Mingze Xu; Chunhui Liu 002; Kaustav Kundu; Yuanjun Xiong; Davide Modolo; Ivan Marsic; Cees G. M. Snoek; et al. (CVPR, 2022)

Hybrid Simulation Modeling Formalism via O2DES Framework for Mega Container Terminals. - Haobin Li; Xinhu Cao; Ek Peng Chew; Kok Choon Tan; Kaustav Kundu; Hongdan Chen (WSC, 2022)

Prompting Foundational Models for Omni-supervised Instance Segmentation. - Arnav M. Das; Ritwick Chaudhry; Kaustav Kundu; Davide Modolo (CVPR Workshops, 2024)

Robustness Preserving Fine-Tuning Using Neuron Importance. - Guangrui Li 005; Rahul Duggal; Aaditya Singh; Kaustav Kundu; Bing Shuai; Jonathan Wu (ECCV (68), 2024)