Vibhav Vineet - RankMe

139 papers A* 26A 8B 1Misc 4Journal 72Unranked 27

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	OS-Marathon: Benchmarking Computer-Use Agents on Long-Horizon Repetitive Tasks. CoRR Jing Wu, Daphne Barretto, Yiye Chen, Nicholas Gyde, Yanan Jian, Yuhang He, Vibhav Vineet
2026	J	`jnl`	StreamReady: Learning What to Answer and When in Long Streaming Videos. CoRR Shehreen Azad, Vibhav Vineet, Yogesh Singh Rawat
2025	—	`conf`	A Large-Scale Analysis on Contextual Self-Supervised Video Representation Learning. CVPR Workshops Akash Kumar, Ashlesha Kumar, Vibhav Vineet, Yogesh S. Rawat
2025	J	`jnl`	A Large-Scale Analysis on Contextual Self-Supervised Video Representation Learning. CoRR Akash Kumar, Ashlesha Kumar, Vibhav Vineet, Yogesh S. Rawat
2025	J	`jnl`	CoSPlan: Corrective Sequential Planning via Scene Graph Incremental Updates. CoRR Shresth Grover, Priyank Pathak, Akash Kumar, Vibhav Vineet, Yogesh S. Rawat
2025	J	`jnl`	Does Physics Knowledge Emerge in Frontier Models? CoRR Ieva Bagdonaviciute, Vibhav Vineet
2025	A*	`conf`	DreamDistribution: Learning Prompt Distribution for Diverse In-distribution Generation. ICLR Brian Nlong Zhao, Yuhang Xiao, Jiashu Xu, Xinyang Jiang, Yifan Yang, Dongsheng Li, Laurent Itti, Vibhav Vineet, Yunhao Ge
2025	—	`conf`	Exposing the Achilles' Heel: Evaluating LLMs Ability to Handle Mistakes in Mathematical Reasoning. ACL (1) Joykirat Singh, Akshay Uttama Nambi, Vibhav Vineet
2025	J	`jnl`	Fara-7B: An Efficient Agentic Model for Computer Use. CoRR Ahmed Awadallah, Yash Lara, Raghav Magazine, Hussein Mozannar, Akshay Nambi, Yash Pandya, Aravind Rajeswaran, Corby Rosset, Alexey Taymanov, Vibhav Vineet, Spencer Whitehead, Andrew Zhao
2025	—	`conf`	Grounding Task Assistance with Multimodal Cues from a Single Demonstration. ACL (Findings) Gabriel Herbert Sarch, Balasaravanan Thoravi Kumaravel, Sahithya Ravi, Vibhav Vineet, Andrew D. Wilson
2025	J	`jnl`	Grounding Task Assistance with Multimodal Cues from a Single Demonstration. CoRR Gabriel Sarch, Balasaravanan Thoravi Kumaravel, Sahithya Ravi, Vibhav Vineet, Andrew D. Wilson
2025	A*	`conf`	HierarQ: Task-Aware Hierarchical Q-Former for Enhanced Video Understanding. CVPR Shehreen Azad, Vibhav Vineet, Yogesh Singh Rawat
2025	J	`jnl`	HierarQ: Task-Aware Hierarchical Q-Former for Enhanced Video Understanding. CoRR Shehreen Azad, Vibhav Vineet, Yogesh Singh Rawat
2025	J	`jnl`	Inference-Time Scaling for Complex Tasks: Where We Stand and What Lies Ahead. CoRR Vidhisha Balachandran, Jingya Chen, Lingjiao Chen, Shivam Garg, Neel Joshi, Yash Lara, John Langford, Besmira Nushi, Vibhav Vineet, Yue Wu, Safoora Yousefi
2025	J	`jnl`	Just Do It!? Computer-Use Agents Exhibit Blind Goal-Directedness. CoRR Erfan Shayegani, Keegan Hines, Yue Dong, Nael B. Abu-Ghazaleh, Roman Lutz, Spencer Whitehead, Vidhisha Balachandran, Besmira Nushi, Vibhav Vineet
2025	J	`jnl`	MM-GEN: Enhancing Task Performance Through Targeted Multimodal Data Curation. CoRR Siddharth Joshi, Besmira Nushi, Vidhisha Balachandran, Varun Chandrasekaran, Vibhav Vineet, Neel Joshi, Baharan Mirzasoleiman
2025	J	`jnl`	MM-GEN: Principled and Generalizable Data Curation for Enhancing Task Performance in VLMs. J. Data-centric Mach. Learn. Res. Siddharth Joshi, Besmira Nushi, Vidhisha Balachandran, Varun Chandrasekaran, Vibhav Vineet, Neel Joshi, Baharan Mirzasoleiman
2025	—	`conf`	OmViD: Omni-Supervised Active Learning for Video Action Detection. ICCVW Aayush Jung Rana, Akash Kumar, Vibhav Vineet, Yogesh S. Rawat
2025	J	`jnl`	OmViD: Omni-supervised active learning for video action detection. CoRR Aayush Jung Rana, Akash Kumar, Vibhav Vineet, Yogesh S. Rawat
2025	A*	`conf`	Out of Sight, Not Out of Context? Egocentric Spatial Reasoning in VLMs Across Disjoint Frames. EMNLP Sahithya Ravi, Gabriel Herbert Sarch, Vibhav Vineet, Andrew D. Wilson, Balasaravanan Thoravi Kumaravel
2025	J	`jnl`	Out of Sight, Not Out of Context? Egocentric Spatial Reasoning in VLMs Across Disjoint Frames. CoRR Sahithya Ravi, Gabriel Sarch, Vibhav Vineet, Andrew D. Wilson, Balasaravanan Thoravi Kumaravel
2025	J	`jnl`	Phi-4-reasoning Technical Report. CoRR Marah I Abdin, Sahaj Agarwal, Ahmed Awadallah, Vidhisha Balachandran, Harkirat S. Behl, Lingjiao Chen, Gustavo de Rosa, Suriya Gunasekar, Mojan Javaheripi, Neel Joshi, Piero Kauffmann, Yash Lara, Caio César Teodoro Mendes, Arindam Mitra, Besmira Nushi, Dimitris Papailiopoulos, Olli Saarikivi, Shital Shah, Vaishnavi Shrivastava, Vibhav Vineet, Yue Wu, Safoora Yousefi, Guoqing Zheng
2025	A*	`conf`	RiTTA: Modeling Event Relations in Text-to-Audio Generation. EMNLP Yuhang He, Yash Jain, Xubo Liu, Andrew Markham, Vibhav Vineet
2025	J	`jnl`	TEMPURA: Temporal Event Masked Prediction and Understanding for Reasoning in Action. CoRR Jen-Hao Cheng, Vivian Wang, Huayu Wang, Huapeng Zhou, Yi-Hao Peng, Hou-I Liu, Hsiang-Wei Huang, Kuang-Ming Chen, Cheng-Yen Yang, Wenhao Chai, Yiling Chen, Vibhav Vineet, Qin Cai, Jenq-Neng Hwang
2025	—	`conf`	Test-time Prompt Refinement for Text-to-Image Models. ICCVW Mohammed Abdul Hafeez Khan, Yash Jain, Siddhartha Bhattacharyya, Vibhav Vineet
2025	J	`jnl`	Test-time Prompt Refinement for Text-to-Image Models. CoRR Mohammed Abdul Hafeez Khan, Yash Jain, Siddhartha Bhattacharyya, Vibhav Vineet
2025	—	`conf`	Understanding Depth and Height Perception in Large Visual-Language Models. CVPR Workshops Shehreen Azad, Yash Jain, Rishit Garg, Vibhav Vineet, Yogesh S. Rawat
2025	A*	`conf`	Unearthing Skill-level Insights for Understanding Trade-offs of Foundation Models. ICLR Mazda Moayeri, Vidhisha Balachandran, Varun Chandrasekaran, Safoora Yousefi, Thomas Fel, Soheil Feizi, Besmira Nushi, Neel Joshi, Vibhav Vineet
2025	J	`jnl`	What MLLMs Learn about When they Learn about Multimodal Reasoning: Perception, Reasoning, or their Integration? CoRR Jiwan Chung, Neel Joshi, Pratyusha Sharma, Youngjae Yu, Vibhav Vineet
2024	J	`jnl`	Eureka: Evaluating and Understanding Large Foundation Models. CoRR Vidhisha Balachandran, Jingya Chen, Neel Joshi, Besmira Nushi, Hamid Palangi, Eduardo Salinas, Vibhav Vineet, James Woffinden-Luey, Safoora Yousefi
2024	J	`jnl`	Exposing the Achilles' Heel: Evaluating LLMs Ability to Handle Mistakes in Mathematical Reasoning. CoRR Joykirat Singh, Akshay Nambi, Vibhav Vineet
2024	J	`jnl`	GeoMeter: Probing Depth and Height Perception of Large Visual-Language Models. CoRR Shehreen Azad, Yash Jain, Rishit Garg, Yogesh S. Rawat, Vibhav Vineet
2024	A*	`conf`	Is A Picture Worth A Thousand Words? Delving Into Spatial Reasoning for Vision Language Models. NeurIPS Jiayu Wang, Yifei Ming, Zhenmei Shi, Vibhav Vineet, Xin Wang, Sharon Li, Neel Joshi
2024	J	`jnl`	Is A Picture Worth A Thousand Words? Delving Into Spatial Reasoning for Vision Language Models. CoRR Jiayu Wang, Yifei Ming, Zhenmei Shi, Vibhav Vineet, Xin Wang, Neel Joshi
2024	—	`conf`	Navigating Hallucinations for Reasoning of Unintentional Activities. EMNLP (Findings) Shresth Grover, Vibhav Vineet, Yogesh S. Rawat
2024	J	`jnl`	Navigating Hallucinations for Reasoning of Unintentional Activities. CoRR Shresth Grover, Vibhav Vineet, Yogesh S. Rawat
2024	J	`jnl`	On Occlusions in Video Action Detection: Benchmark Datasets And Training Recipes. CoRR Rajat Modi, Vibhav Vineet, Yogesh Singh Rawat
2024	A*	`conf`	Peekaboo: Interactive Video Generation via Masked-Diffusion. CVPR Yash Jain, Anshul Nasery, Vibhav Vineet, Harkirat S. Behl
2024	J	`jnl`	RiTTA: Modeling Event Relations in Text-to-Audio Generation. CoRR Yuhang He, Yash Jain, Xubo Liu, Andrew Markham, Vibhav Vineet
2024	—	`conf`	Robustness Analysis on Foundational Segmentation Models. CVPR Workshops Madeline Chantry Schiappa, Shehreen Azad, Sachidanand VS, Yunhao Ge, Ondrej Miksik, Yogesh S. Rawat, Vibhav Vineet
2024	J	`jnl`	Unearthing Skill-Level Insights for Understanding Trade-Offs of Foundation Models. CoRR Mazda Moayeri, Vidhisha Balachandran, Varun Chandrasekaran, Safoora Yousefi, Thomas Fel, Soheil Feizi, Besmira Nushi, Neel Joshi, Vibhav Vineet
2023	A*	`conf`	A Large-Scale Robustness Analysis of Video Action Recognition Models. CVPR Madeline Chantry Schiappa, Naman Biyani, Prudvi Kamtam, Shruti Vyas, Hamid Palangi, Vibhav Vineet, Yogesh S. Rawat
2023	J	`jnl`	Benchmarking self-supervised video representation learning. CoRR Akash Kumar, Ashlesha Kumar, Vibhav Vineet, Yogesh Singh Rawat
2023	J	`jnl`	Beyond Generation: Harnessing Text to Image Models for Object Detection and Segmentation. CoRR Yunhao Ge, Jiashu Xu, Brian Nlong Zhao, Neel Joshi, Laurent Itti, Vibhav Vineet
2023	J	`jnl`	Controllable Text-to-Image Generation with GPT-4. CoRR Tianjun Zhang, Yi Zhang, Vibhav Vineet, Neel Joshi, Xin Wang
2023	A*	`conf`	DAMEX: Dataset-aware Mixture-of-Experts for visual understanding of mixture-of-datasets. NeurIPS Yash Jain, Harkirat S. Behl, Zsolt Kira, Vibhav Vineet
2023	J	`jnl`	DAMEX: Dataset-aware Mixture-of-Experts for visual understanding of mixture-of-datasets. CoRR Yash Jain, Harkirat S. Behl, Zsolt Kira, Vibhav Vineet
2023	J	`jnl`	DreamDistribution: Prompt Distribution Learning for Text-to-Image Diffusion Models. CoRR Brian Nlong Zhao, Yuhang Xiao, Jiashu Xu, Xinyang Jiang, Yifan Yang, Dongsheng Li, Laurent Itti, Vibhav Vineet, Yunhao Ge
2023	A*	`conf`	Efficiently Robustify Pre-Trained Models. ICCV Nishant Jain, Harkirat S. Behl, Yogesh Singh Rawat, Vibhav Vineet
2023	J	`jnl`	Efficiently Robustify Pre-trained Models. CoRR Nishant Jain, Harkirat S. Behl, Yogesh Singh Rawat, Vibhav Vineet
2023	A*	`conf`	Exploring the Sim2Real Gap using Digital Twins. ICCV Sruthi Sudhakar, Jon Hanzelka, Josh Bobillot, Tanmay Randhavane, Neel Joshi, Vibhav Vineet
2023	A*	`conf`	On Occlusions in Video Action Detection: Benchmark Datasets And Training Recipes. NeurIPS Rajat Modi, Vibhav Vineet, Yogesh S. Rawat
2023	J	`jnl`	PEEKABOO: Interactive Video Generation via Masked-Diffusion. CoRR Yash Jain, Anshul Nasery, Vibhav Vineet, Harkirat S. Behl
2023	Misc	`conf`	PLEX: Making the Most of the Available Data for Robotic Manipulation Pretraining. CoRL Garrett Thomas, Ching-An Cheng, Ricky Loynd, Felipe Vieira Frujeri, Vibhav Vineet, Mihai Jalobeanu, Andrey Kolobov
2023	J	`jnl`	PLEX: Making the Most of the Available Data for Robotic Manipulation Pretraining. CoRR Garrett Thomas, Ching-An Cheng, Ricky Loynd, Vibhav Vineet, Mihai Jalobeanu, Andrey Kolobov
2023	A*	`conf`	Revealing the unseen: Benchmarking video action recognition under occlusion. NeurIPS Shresth Grover, Vibhav Vineet, Yogesh S. Rawat
2023	J	`jnl`	Robustness Analysis on Foundational Segmentation Models. CoRR Madeline Chantry Schiappa, Sachidanand VS, Yunhao Ge, Ondrej Miksik, Yogesh S. Rawat, Vibhav Vineet
2023	A	`conf`	Scaling Novel Object Detection with Weakly Supervised Detection Transformers. WACV Tyler LaBonte, Yale Song, Xin Wang, Vibhav Vineet, Neel Joshi
2022	A*	`conf`	3DB: A Framework for Debugging Computer Vision Models. NeurIPS Guillaume Leclerc, Hadi Salman, Andrew Ilyas, Sai Vemprala, Logan Engstrom, Vibhav Vineet, Kai Yuanqing Xiao, Pengchuan Zhang, Shibani Santurkar, Greg Yang, Ashish Kapoor, Aleksander Madry
2022	J	`jnl`	Benchmarking Spatial Relationships in Text-to-Image Generation. CoRR Tejas Gokhale, Hamid Palangi, Besmira Nushi, Vibhav Vineet, Eric Horvitz, Ece Kamar, Chitta Baral, Yezhou Yang
2022	—	`conf`	CausalCity: Complex Simulations with Agency for Causal Discovery and Reasoning. CLeaR Daniel McDuff, Yale Song, Jiyoung Lee, Vibhav Vineet, Sai Vemprala, Nicholas Gyde, Hadi Salman, Shuang Ma, Kwanghoon Sohn, Ashish Kapoor
2022	J	`jnl`	Context-Aware Image Completion. CoRR Jinoh Cho, Minguk Kang, Vibhav Vineet, Jaesik Park
2022	J	`jnl`	DALL-E for Detection: Language-driven Context Image Synthesis for Object Detection. CoRR Yunhao Ge, Jiashu Xu, Brian Nlong Zhao, Laurent Itti, Vibhav Vineet
2022	J	`jnl`	EM-Paste: EM-guided Cut-Paste with DALL-E Augmentation for Image-level Weakly Supervised Instance Segmentation. CoRR Yunhao Ge, Jiashu Xu, Brian Nlong Zhao, Laurent Itti, Vibhav Vineet
2022	—	`conf`	Image Retrieval from Contextual Descriptions. ACL (1) Benno Krojer, Vaibhav Adlakha, Vibhav Vineet, Yash Goyal, Edoardo Maria Ponti, Siva Reddy
2022	J	`jnl`	Image Retrieval from Contextual Descriptions. CoRR Benno Krojer, Vaibhav Adlakha, Vibhav Vineet, Yash Goyal, Edoardo Maria Ponti, Siva Reddy
2022	A	`conf`	Inferring Articulated Rigid Body Dynamics from RGBD Video. IROS Eric Heiden, Ziang Liu, Vibhav Vineet, Erwin Coumans, Gaurav S. Sukhatme
2022	J	`jnl`	Inferring Articulated Rigid Body Dynamics from RGBD Video. CoRR Eric Heiden, Ziang Liu, Vibhav Vineet, Erwin Coumans, Gaurav S. Sukhatme
2022	J	`jnl`	Large-scale Robustness Analysis of Video Action Recognition Models. CoRR Madeline C. Schiappa, Naman Biyani, Shruti Vyas, Hamid Palangi, Vibhav Vineet, Yogesh S. Rawat
2022	A*	`conf`	Learning to Align Sequential Actions in the Wild. CVPR Weizhe Liu, Bugra Tekin, Huseyin Coskun, Vibhav Vineet, Pascal Fua, Marc Pollefeys
2022	A	`conf`	Learning to Simulate Realistic LiDARs. IROS Benoît Guillard, Sai Vemprala, Jayesh K. Gupta, Ondrej Miksik, Vibhav Vineet, Pascal Fua, Ashish Kapoor
2022	J	`jnl`	Learning to Simulate Realistic LiDARs. CoRR Benoît Guillard, Sai Vemprala, Jayesh K. Gupta, Ondrej Miksik, Vibhav Vineet, Pascal Fua, Ashish Kapoor
2022	—	`conf`	MTFormer: Multi-task Learning via Transformer and Cross-Task Reasoning. ECCV (27) Xiaogang Xu, Hengshuang Zhao, Vibhav Vineet, Ser-Nam Lim, Antonio Torralba
2022	A*	`conf`	Missingness Bias in Model Debugging. ICLR Saachi Jain, Hadi Salman, Eric Wong, Pengchuan Zhang, Vibhav Vineet, Sai Vemprala, Aleksander Madry
2022	J	`jnl`	Missingness Bias in Model Debugging. CoRR Saachi Jain, Hadi Salman, Eric Wong, Pengchuan Zhang, Vibhav Vineet, Sai Vemprala, Aleksander Madry
2022	J	`jnl`	Multi-modal Robustness Analysis Against Language and Visual Perturbations. CoRR Madeline C. Schiappa, Shruti Vyas, Hamid Palangi, Yogesh S. Rawat, Vibhav Vineet
2022	—	`conf`	Neural-Sim: Learning to Generate Training Data with NeRF. ECCV (23) Yunhao Ge, Harkirat S. Behl, Jiashu Xu, Suriya Gunasekar, Neel Joshi, Yale Song, Xin Wang, Laurent Itti, Vibhav Vineet
2022	J	`jnl`	Neural-Sim: Learning to Generate Training Data with NeRF. CoRR Yunhao Ge, Harkirat S. Behl, Jiashu Xu, Suriya Gunasekar, Neel Joshi, Yale Song, Xin Wang, Laurent Itti, Vibhav Vineet
2022	J	`jnl`	One Network Doesn't Rule Them All: Moving Beyond Handcrafted Architectures in Self-Supervised Learning. CoRR Sharath Girish, Debadeepta Dey, Neel Joshi, Vibhav Vineet, Shital Shah, Caio César Teodoro Mendes, Abhinav Shrivastava, Yale Song
2022	A*	`conf`	Robust Contrastive Learning against Noisy Views. CVPR Ching-Yao Chuang, R. Devon Hjelm, Xin Wang, Vibhav Vineet, Neel Joshi, Antonio Torralba, Stefanie Jegelka, Yale Song
2022	J	`jnl`	Robust Contrastive Learning against Noisy Views. CoRR Ching-Yao Chuang, R. Devon Hjelm, Xin Wang, Vibhav Vineet, Neel Joshi, Antonio Torralba, Stefanie Jegelka, Yale Song
2022	A*	`conf`	Robustness Analysis of Video-Language Models Against Visual and Language Perturbations. NeurIPS Madeline Schiappa, Shruti Vyas, Hamid Palangi, Yogesh S. Rawat, Vibhav Vineet
2022	J	`jnl`	Scaling Novel Object Detection with Weakly Supervised Detection Transformers. CoRR Tyler LaBonte, Yale Song, Xin Wang, Vibhav Vineet, Neel Joshi
2022	J	`jnl`	TASKOGRAPHY: Evaluating robot task planning over large 3D scene graphs. CoRR Christopher Agia, Krishna Murthy Jatavallabhula, Mohamed Khodeir, Ondrej Miksik, Vibhav Vineet, Mustafa Mukadam, Liam Paull, Florian Shkurti
2021	J	`jnl`	3DB: A Framework for Debugging Computer Vision Models. CoRR Guillaume Leclerc, Hadi Salman, Andrew Ilyas, Sai Vemprala, Logan Engstrom, Vibhav Vineet, Kai Yuanqing Xiao, Pengchuan Zhang, Shibani Santurkar, Greg Yang, Ashish Kapoor, Aleksander Madry
2021	J	`jnl`	CausalCity: Complex Simulations with Agency for Causal Discovery and Reasoning. CoRR Daniel McDuff, Yale Song, Jiyoung Lee, Vibhav Vineet, Sai Vemprala, Nicholas Gyde, Hadi Salman, Shuang Ma, Kwanghoon Sohn, Ashish Kapoor
2021	J	`jnl`	Learning to Align Sequential Actions in the Wild. CoRR Weizhe Liu, Bugra Tekin, Huseyin Coskun, Vibhav Vineet, Pascal Fua, Marc Pollefeys
2021	Misc	`conf`	Prediction of Object Geometry from Acoustic Scattering Using Convolutional Neural Networks. ICASSP Ziqi Fan, Vibhav Vineet, Chenshen Lu, T. W. Wu, Kyla A. McMullen
2021	J	`jnl`	RANP: Resource Aware Neuron Pruning at Initialization for 3D CNNs. CoRR Zhiwei Xu, Thalaiyasingam Ajanthan, Vibhav Vineet, Richard I. Hartley
2021	Misc	`conf`	Taskography: Evaluating robot task planning over large 3D scene graphs. CoRL Christopher Agia, Krishna Murthy Jatavallabhula, Mohamed Khodeir, Ondrej Miksik, Vibhav Vineet, Mustafa Mukadam, Liam Paull, Florian Shkurti
2020	—	`conf`	AutoSimulate: (Quickly) Learning Synthetic Data Generation. ECCV (22) Harkirat Singh Behl, Atilim Günes Baydin, Ran Gal, Philip H. S. Torr, Vibhav Vineet
2020	J	`jnl`	AutoSimulate: (Quickly) Learning Synthetic Data Generation. CoRR Harkirat Singh Behl, Atilim Günes Baydin, Ran Gal, Philip H. S. Torr, Vibhav Vineet
2020	J	`jnl`	Deep Depth Prior for Multi-View Stereo. CoRR Pallabi Ghosh, Vibhav Vineet, Larry S. Davis, Abhinav Shrivastava, Sudipta N. Sinha, Neel Joshi
2020	—	`conf`	Depth Completion Using a View-constrained Deep Prior. 3DV Pallabi Ghosh, Vibhav Vineet, Larry S. Davis, Abhinav Shrivastava, Sudipta N. Sinha, Neel Joshi
2020	Misc	`conf`	Fast Acoustic Scattering Using Convolutional Neural Networks. ICASSP Ziqi Fan, Vibhav Vineet, Hannes Gamper, Nikunj Raghuvanshi
2020	A	`conf`	Learning Visuomotor Policies for Aerial Navigation Using Cross-Modal Representations. IROS Rogerio Bonatti, Ratnesh Madaan, Vibhav Vineet, Sebastian A. Scherer, Ashish Kapoor
2020	J	`jnl`	Prediction of Object Geometry from Acoustic Scattering Using Convolutional Neural Networks. CoRR Ziqi Fan, Vibhav Vineet, Chenshen Lu, Kyla A. McMullen
2020	—	`conf`	RANP: Resource Aware Neuron Pruning at Initialization for 3D CNNs. 3DV Zhiwei Xu, Thalaiyasingam Ajanthan, Vibhav Vineet, Richard I. Hartley
2020	J	`jnl`	RANP: Resource Aware Neuron Pruning at Initialization for 3D CNNs. CoRR Zhiwei Xu, Thalaiyasingam Ajanthan, Vibhav Vineet, Richard I. Hartley
2019	J	`jnl`	Fast acoustic scattering using convolutional neural networks. CoRR Ziqi Fan, Vibhav Vineet, Hannes Gamper, Nikunj Raghuvanshi
2019	J	`jnl`	Learning Controls Using Cross-Modal Representations: Bridging Simulation and Reality for Drone Racing. CoRR Rogerio Bonatti, Ratnesh Madaan, Vibhav Vineet, Sebastian A. Scherer, Ashish Kapoor
2019	—	`conf`	Live Reconstruction of Large-Scale Dynamic Outdoor Worlds. CVPR Workshops Ondrej Miksik, Vibhav Vineet
2019	J	`jnl`	Live Reconstruction of Large-Scale Dynamic Outdoor Worlds. CoRR Ondrej Miksik, Vibhav Vineet
2019	B	`conf`	Photorealistic Image Synthesis for Object Instance Detection. ICIP Tomás Hodan, Vibhav Vineet, Ran Gal, Emanuel Shalev, Jon Hanzelka, Treb Connell, Pedro Urbina, Sudipta N. Sinha, Brian Guenter
2019	J	`jnl`	Photorealistic Image Synthesis for Object Instance Detection. CoRR Tomas Hodan, Vibhav Vineet, Ran Gal, Emanuel Shalev, Jon Hanzelka, Treb Connell, Pedro Urbina, Sudipta N. Sinha, Brian Guenter
2019	—	`conf`	Privacy-Preserving Action Recognition Using Coded Aperture Videos. CVPR Workshops Zihao W. Wang, Vibhav Vineet, Francesco Pittaluga, Sudipta N. Sinha, Oliver Cossairt, Sing Bing Kang
2019	J	`jnl`	Privacy-Preserving Action Recognition using Coded Aperture Videos. CoRR Zihao W. Wang, Vibhav Vineet, Francesco Pittaluga, Sudipta N. Sinha, Oliver Cossairt, Sing Bing Kang
2016	A*	`conf`	Dense Monocular Depth Estimation in Complex Dynamic Scenes. CVPR René Ranftl, Vibhav Vineet, Qifeng Chen, Vladlen Koltun
2016	A*	`conf`	Feature Space Optimization for Semantic Video Segmentation. CVPR Abhijit Kundu, Vibhav Vineet, Vladlen Koltun
2016	—	`conf`	Playing for Data: Ground Truth from Computer Games. ECCV (2) Stephan R. Richter, Vibhav Vineet, Stefan Roth, Vladlen Koltun
2016	J	`jnl`	Playing for Data: Ground Truth from Computer Games. CoRR Stephan R. Richter, Vibhav Vineet, Stefan Roth, Vladlen Koltun
2016	J	`jnl`	Struck: Structured Output Tracking with Kernels. IEEE Trans. Pattern Anal. Mach. Intell. Sam Hare, Stuart Golodetz, Amir Saffari, Vibhav Vineet, Ming-Ming Cheng, Stephen L. Hicks, Philip H. S. Torr
2015	A*	`conf`	Conditional Random Fields as Recurrent Neural Networks. ICCV Shuai Zheng, Sadeep Jayasumana, Bernardino Romera-Paredes, Vibhav Vineet, Zhizhong Su, Dalong Du, Chang Huang, Philip H. S. Torr
2015	J	`jnl`	Conditional Random Fields as Recurrent Neural Networks. CoRR Shuai Zheng, Sadeep Jayasumana, Bernardino Romera-Paredes, Vibhav Vineet, Zhizhong Su, Dalong Du, Chang Huang, Philip H. S. Torr
2015	A	`conf`	Incremental dense multi-modal 3D scene reconstruction. IROS Ondrej Miksik, Yousef Amar, Vibhav Vineet, Patrick Pérez, Philip H. S. Torr
2015	A*	`conf`	Incremental dense semantic stereo fusion for large-scale semantic scene reconstruction. ICRA Vibhav Vineet, Ondrej Miksik, Morten Lidegaard, Matthias Nießner, Stuart Golodetz, Victor Adrian Prisacariu, Olaf Kähler, David William Murray, Shahram Izadi, Patrick Pérez, Philip H. S. Torr
2015	J	`jnl`	SemanticPaint: A Framework for the Interactive Segmentation of 3D Scenes. CoRR Stuart Golodetz, Michael Sapienza, Julien P. C. Valentin, Vibhav Vineet, Ming-Ming Cheng, Anurag Arnab, Victor Adrian Prisacariu, Olaf Kähler, Carl Yuheng Ren, David William Murray, Shahram Izadi, Philip H. S. Torr
2015	J	`jnl`	SemanticPaint: Interactive 3D Labeling and Learning at your Fingertips. ACM Trans. Graph. Julien P. C. Valentin, Vibhav Vineet, Ming-Ming Cheng, David Kim, Jamie Shotton, Pushmeet Kohli, Matthias Nießner, Antonio Criminisi, Shahram Izadi, Philip H. S. Torr
2015	—	`conf`	SemanticPaint: interactive segmentation and learning of 3D world. SIGGRAPH Talks Julien P. C. Valentin, Vibhav Vineet, Ming-Ming Cheng, David Kim, Jamie Shotton, Pushmeet Kohli, Matthias Nießner, Antonio Criminisi, Shahram Izadi, Philip H. S. Torr
2015	—	`conf`	SemanticPaint: interactive segmentation and learning of 3D worlds. SIGGRAPH Emerging Technologies Stuart Golodetz, Michael Sapienza, Julien P. C. Valentin, Vibhav Vineet, Ming-Ming Cheng, Victor Adrian Prisacariu, Olaf Kähler, Carl Yuheng Ren, Anurag Arnab, Stephen L. Hicks, David William Murray, Shahram Izadi, Philip H. S. Torr
2015	A*	`conf`	The Semantic Paintbrush: Interactive 3D Mapping and Recognition in Large Outdoor Spaces. CHI Ondrej Miksik, Vibhav Vineet, Morten Lidegaard, Ram Prasaath, Matthias Nießner, Stuart Golodetz, Stephen L. Hicks, Patrick Pérez, Shahram Izadi, Philip H. S. Torr
2014	J	`jnl`	A Tiered Move-making Algorithm for General Non-submodular Pairwise Energies. CoRR Vibhav Vineet, Jonathan Warrell, Philip H. S. Torr
2014	A*	`conf`	Dense Semantic Image Segmentation with Objects and Attributes. CVPR Shuai Zheng, Ming-Ming Cheng, Jonathan Warrell, Paul Sturgess, Vibhav Vineet, Carsten Rother, Philip H. S. Torr
2014	A	`conf`	Distributed Non-convex ADMM-based inference in large-scale random fields. BMVC Ondrej Miksik, Vibhav Vineet, Patrick Pérez, Philip H. S. Torr
2014	J	`jnl`	Filter-Based Mean-Field Inference for Random Fields with Higher-Order Terms and Product Label-Spaces. Int. J. Comput. Vis. Vibhav Vineet, Jonathan Warrell, Philip H. S. Torr
2014	J	`jnl`	ImageSpirit: Verbal Guided Image Parsing. ACM Trans. Graph. Ming-Ming Cheng, Shuai Zheng, Wen-Yan Lin, Vibhav Vineet, Paul Sturgess, Nigel T. Crook, Niloy J. Mitra, Philip H. S. Torr
2014	—	`—`	Recognition, reorganisation, reconstruction and reinteraction for scene understanding. Vibhav Vineet
2014	—	`conf`	The Visual Object Tracking VOT2014 Challenge Results. ECCV Workshops (2) 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
2013	A*	`conf`	Efficient Salient Region Detection with Soft Image Abstraction. ICCV Ming-Ming Cheng, Jonathan Warrell, Wen-Yan Lin, Shuai Zheng, Vibhav Vineet, Nigel T. Crook
2013	—	`conf`	Higher Order Priors for Joint Intrinsic Image, Objects, and Attributes Estimation. NIPS Vibhav Vineet, Carsten Rother, Philip H. S. Torr
2013	J	`jnl`	ImageSpirit: Verbal Guided Image Parsing. CoRR Ming-Ming Cheng, Shuai Zheng, Wen-Yan Lin, Jonathan Warrell, Vibhav Vineet, Paul Sturgess, Nigel T. Crook, Niloy J. Mitra, Philip H. S. Torr
2013	—	`conf`	PoseField: An Efficient Mean-Field Based Method for Joint Estimation of Human Pose, Segmentation, and Depth. EMMCVPR Vibhav Vineet, Glenn Sheasby, Jonathan Warrell, Philip H. S. Torr
2012	A*	`conf`	A tiered move-making algorithm for general pairwise MRFs. CVPR Vibhav Vineet, Jonathan Warrell, Philip H. S. Torr
2012	—	`conf`	Filter-Based Mean-Field Inference for Random Fields with Higher-Order Terms and Product Label-Spaces. ECCV (5) Vibhav Vineet, Jonathan Warrell, Philip H. S. Torr
2012	A	`conf`	Improved Initialization and Gaussian Mixture Pairwise Terms for Dense Random Fields with Mean-field Inference. BMVC Vibhav Vineet, Jonathan Warrell, Paul Sturgess, Philip H. S. Torr
2011	A	`conf`	Human Instance Segmentation from Video using Detector-based Conditional Random Fields. BMVC Vibhav Vineet, Jonathan Warrell, Lubor Ladicky, Philip H. S. Torr
2009	—	`conf`	Fast minimum spanning tree for large graphs on the GPU. High Performance Graphics Vibhav Vineet, Pawan Harish, Suryakant Patidar, P. J. Narayanan
2009	—	`conf`	Solving Multilabel MRFs Using Incremental ACCV (3) Vibhav Vineet, P. J. Narayanan
2008	—	`conf`	CUDA cuts: Fast graph cuts on the GPU. CVPR Workshops Vibhav Vineet, P. J. Narayanan