Vineet, Vibhav

40 publications

CVPRW 2025 A Large-Scale Analysis on Contextual Self-Supervised Video Representation Learning Akash Kumar, Ashlesha Kumar, Vibhav Vineet, Yogesh S. Rawat

ICLR 2025 DreamDistribution: Learning Prompt Distribution for Diverse In-Distribution Generation Brian Nlong Zhao, Yuhang Xiao, Jiashu Xu, Xinyang Jiang, Yifan Yang, Dongsheng Li, Laurent Itti, Vibhav Vineet, Yunhao Ge

CVPR 2025 HierarQ: Task-Aware Hierarchical Q-Former for Enhanced Video Understanding Shehreen Azad, Vibhav Vineet, Yogesh Singh Rawat

CVPRW 2025 Understanding Depth and Height Perception in Large Visual-Language Models Shehreen Azad, Yash Jain, Rishit Garg, Vibhav Vineet, Yogesh S. Rawat

ICLR 2025 Unearthing Skill-Level Insights for Understanding Trade-Offs of Foundation Models Mazda Moayeri, Vidhisha Balachandran, Varun Chandrasekaran, Safoora Yousefi, Thomas Fel, Soheil Feizi, Besmira Nushi, Neel Joshi, Vibhav Vineet

NeurIPS 2024 Is a Picture Worth a Thousand Words? Delving into Spatial Reasoning for Vision Language Models Jiayu Wang, Yifei Ming, Zhenmei Shi, Vibhav Vineet, Xin Wang, Yixuan Li, Neel Joshi

CVPR 2024 PEEKABOO: Interactive Video Generation via Masked-Diffusion Yash Jain, Anshul Nasery, Vibhav Vineet, Harkirat Behl

CVPRW 2024 Robustness Analysis on Foundational Segmentation Models Madeline Chantry Schiappa, Shehreen Azad, Sachidanand Vs, Yunhao Ge, Ondrej Miksik, Yogesh S. Rawat, Vibhav Vineet

CVPR 2023 A Large-Scale Robustness Analysis of Video Action Recognition Models Madeline Chantry Schiappa, Naman Biyani, Prudvi Kamtam, Shruti Vyas, Hamid Palangi, Vibhav Vineet, Yogesh S. Rawat

NeurIPS 2023 DAMEX: Dataset-Aware Mixture-of-Experts for Visual Understanding of Mixture-of-Datasets Yash Jain, Harkirat Behl, Zsolt Kira, Vibhav Vineet

ICCV 2023 Efficiently Robustify Pre-Trained Models Nishant Jain, Harkirat Behl, Yogesh Singh Rawat, Vibhav Vineet

ICCV 2023 Exploring the Sim2Real Gap Using Digital Twins Sruthi Sudhakar, Jon Hanzelka, Josh Bobillot, Tanmay Randhavane, Neel Joshi, Vibhav Vineet

NeurIPS 2023 On Occlusions in Video Action Detection: Benchmark Datasets and Training Recipes Rajat Modi, Vibhav Vineet, Yogesh Rawat

CoRL 2023 PLEX: Making the Most of the Available Data for Robotic Manipulation Pretraining Garrett Thomas, Ching-An Cheng, Ricky Loynd, Felipe Vieira Frujeri, Vibhav Vineet, Mihai Jalobeanu, Andrey Kolobov

NeurIPS 2023 Revealing the Unseen: Benchmarking Video Action Recognition Under Occlusion Shresth Grover, Vibhav Vineet, Yogesh Rawat

WACV 2023 Scaling Novel Object Detection with Weakly Supervised Detection Transformers Tyler LaBonte, Yale Song, Xin Wang, Vibhav Vineet, Neel Joshi

NeurIPS 2022 3DB: A Framework for Debugging Computer Vision Models Guillaume Leclerc, Hadi Salman, Andrew Ilyas, Sai Vemprala, Logan Engstrom, Vibhav Vineet, Kai Xiao, Pengchuan Zhang, Shibani Santurkar, Greg Yang, Ashish Kapoor, Aleksander Madry

CLeaR 2022 CausalCity: Complex Simulations with Agency for Causal Discovery and Reasoning Daniel McDuff, Yale Song, Jiyoung Lee, Vibhav Vineet, Sai Vemprala, Nicholas Alexander Gyde, Hadi Salman, Shuang Ma, Kwanghoon Sohn, Ashish Kapoor

ICLRW 2022 Learning Articulated Rigid Body Dynamics Simulations from Video Eric Heiden, Ziang Liu, Vibhav Vineet, Erwin Coumans, Gaurav Sukhatme

CVPR 2022 Learning to Align Sequential Actions in the Wild Weizhe Liu, Bugra Tekin, Huseyin Coskun, Vibhav Vineet, Pascal Fua, Marc Pollefeys

ECCV 2022 MTFormer: Multi-Task Learning via Transformer and Cross-Task Reasoning Xiaogang Xu, Hengshuang Zhao, Vibhav Vineet, Ser-Nam Lim, Antonio Torralba

ICLR 2022 Missingness Bias in Model Debugging Saachi Jain, Hadi Salman, Eric Wong, Pengchuan Zhang, Vibhav Vineet, Sai Vemprala, Aleksander Madry

ECCV 2022 Neural-Sim: Learning to Generate Training Data with NeRF Yunhao Ge, Harkirat Behl, Jiashu Xu, Suriya Gunasekar, Neel Joshi, Yale Song, Xin Wang, Laurent Itti, Vibhav Vineet

CVPR 2022 Robust Contrastive Learning Against Noisy Views Ching-Yao Chuang, R Devon Hjelm, Xin Wang, Vibhav Vineet, Neel Joshi, Antonio Torralba, Stefanie Jegelka, Yale Song

NeurIPS 2022 Robustness Analysis of Video-Language Models Against Visual and Language Perturbations Madeline Schiappa, Shruti Vyas, Hamid Palangi, Yogesh Rawat, Vibhav Vineet

CoRL 2021 Taskography: Evaluating Robot Task Planning over Large 3D Scene Graphs Christopher Agia, Krishna Murthy Jatavallabhula, Mohamed Khodeir, Ondrej Miksik, Vibhav Vineet, Mustafa Mukadam, Liam Paull, Florian Shkurti

ECCV 2020 AutoSimulate: (Quickly) Learning Synthetic Data Generation Harkirat Singh Behl, Atilim Güneş Baydin, Ran Gal, Philip H.S. Torr, Vibhav Vineet

CVPRW 2019 Live Reconstruction of Large-Scale Dynamic Outdoor Worlds Ondrej Miksik, Vibhav Vineet

CVPRW 2019 Privacy-Preserving Action Recognition Using Coded Aperture Videos Zihao W. Wang, Vibhav Vineet, Francesco Pittaluga, Sudipta N. Sinha, Oliver Cossairt, Sing Bing Kang

CVPR 2016 Dense Monocular Depth Estimation in Complex Dynamic Scenes Rene Ranftl, Vibhav Vineet, Qifeng Chen, Vladlen Koltun

CVPR 2016 Feature Space Optimization for Semantic Video Segmentation Abhijit Kundu, Vibhav Vineet, Vladlen Koltun

ECCV 2016 Playing for Data: Ground Truth from Computer Games Stephan R. Richter, Vibhav Vineet, Stefan Roth, Vladlen Koltun

ICCV 2015 Conditional Random Fields as Recurrent Neural Networks Shuai Zheng, Sadeep Jayasumana, Bernardino Romera-Paredes, Vibhav Vineet, Zhizhong Su, Dalong Du, Chang Huang, Philip H. S. Torr

CVPR 2014 Dense Semantic Image Segmentation with Objects and Attributes Shuai Zheng, Ming-Ming Cheng, Jonathan Warrell, Paul Sturgess, Vibhav Vineet, Carsten Rother, Philip H. S. Torr

ECCVW 2014 The Visual Object Tracking VOT2014 Challenge Results Matej Kristan, Roman P. Pflugfelder, Ales Leonardis, Jiri Matas, Luka Cehovin, Georg Nebehay, Tomás Vojír, Gustavo Fernández, Alan Lukezic, Aleksandar Dimitriev, Alfredo Petrosino, Amir Saffari, Bo Li, Bohyung Han, Cherkeng Heng, Christophe Garcia, Dominik Pangersic, Gustav Häger, Fahad Shahbaz Khan, Franci Oven, Horst Possegger, Horst Bischof, Hyeonseob Nam, Jianke Zhu, Jijia Li, Jin Young Choi, Jinwoo Choi, João F. Henriques, Joost van de Weijer, Jorge Batista, Karel Lebeda, Kristoffer Öfjäll, Kwang Moo Yi, Lei Qin, Longyin Wen, Mario Edoardo Maresca, Martin Danelljan, Michael Felsberg, Ming-Ming Cheng, Philip H. S. Torr, Qingming Huang, Richard Bowden, Sam Hare, Samantha YueYing Lim, Seunghoon Hong, Shengcai Liao, Simon Hadfield, Stan Z. Li, Stefan Duffner, Stuart Golodetz, Thomas Mauthner, Vibhav Vineet, Weiyao Lin, Yang Li, Yuankai Qi, Zhen Lei, Zhi Heng Niu

ICCV 2013 Efficient Salient Region Detection with Soft Image Abstraction Ming-Ming Cheng, Jonathan Warrell, Wen-Yan Lin, Shuai Zheng, Vibhav Vineet, Nigel Crook

NeurIPS 2013 Higher Order Priors for Joint Intrinsic Image, Objects, and Attributes Estimation Vibhav Vineet, Carsten Rother, Philip Torr

CVPR 2012 A Tiered Move-Making Algorithm for General Pairwise MRFs Vibhav Vineet, Jonathan Warrell, Philip H. S. Torr

ECCV 2012 Filter-Based Mean-Field Inference for Random Fields with Higher-Order Terms and Product Label-Spaces Vibhav Vineet, Jonathan Warrell, Philip H. S. Torr

CVPRW 2008 CUDA Cuts: Fast Graph Cuts on the GPU Vibhav Vineet, P. J. Narayanan