Vibhav Vineet
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
54
Venues
16
Active years
2008–2025
Best venue rank
A*
Where they publish
Papers
54 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ACL | Grounding Task Assistance with Multimodal Cues from a Single Demonstration. | Gabriel Herbert Sarch, Balasaravanan Thoravi Kumaravel, Sahithya Ravi, Vibhav Vineet, Andrew D. Wilson |
| 2025 | ACL | Exposing the Achilles' Heel: Evaluating LLMs Ability to Handle Mistakes in Mathematical Reasoning. | Joykirat Singh, Akshay Uttama Nambi, Vibhav Vineet |
| 2025 | CVPR | A Large-Scale Analysis on Contextual Self-Supervised Video Representation Learning. | Akash Kumar, Ashlesha Kumar, Vibhav Vineet, Yogesh S. Rawat |
| 2025 | CVPR | Understanding Depth and Height Perception in Large Visual-Language Models. | Shehreen Azad, Yash Jain, Rishit Garg, Vibhav Vineet, Yogesh S. Rawat |
| 2025 | CVPR | HierarQ: Task-Aware Hierarchical Q-Former for Enhanced Video Understanding. | Shehreen Azad, Vibhav Vineet, Yogesh Singh Rawat |
| 2025 | EMNLP | RiTTA: Modeling Event Relations in Text-to-Audio Generation. | Yuhang He, Yash Jain, Xubo Liu, Andrew Markham, Vibhav Vineet |
| 2025 | EMNLP | Out of Sight, Not Out of Context? Egocentric Spatial Reasoning in VLMs Across Disjoint Frames. | Sahithya Ravi, Gabriel Herbert Sarch, Vibhav Vineet, Andrew D. Wilson, Balasaravanan Thoravi Kumaravel |
| 2025 | ICCV | Test-time Prompt Refinement for Text-to-Image Models. | Mohammed Abdul Hafeez Khan, Yash Jain, Siddhartha Bhattacharyya, Vibhav Vineet |
| 2025 | ICCV | OmViD: Omni-Supervised Active Learning for Video Action Detection. | Aayush Jung Rana, Akash Kumar, Vibhav Vineet, Yogesh S. Rawat |
| 2025 | ICLR | 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 |
| 2025 | ICLR | 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 |
| 2024 | CVPR | Peekaboo: Interactive Video Generation via Masked-Diffusion. | Yash Jain, Anshul Nasery, Vibhav Vineet, Harkirat S. Behl |
| 2024 | CVPR | Robustness Analysis on Foundational Segmentation Models. | Madeline Chantry Schiappa, Shehreen Azad, Sachidanand VS, Yunhao Ge, Ondrej Miksik, Yogesh S. Rawat, Vibhav Vineet |
| 2024 | EMNLP | Navigating Hallucinations for Reasoning of Unintentional Activities. | Shresth Grover, Vibhav Vineet, Yogesh S. Rawat |
| 2023 | CoRL | 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 |
| 2023 | CVPR | 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 |
| 2023 | ICCV | Efficiently Robustify Pre-Trained Models. | Nishant Jain, Harkirat S. Behl, Yogesh Singh Rawat, Vibhav Vineet |
| 2023 | ICCV | Exploring the Sim2Real Gap using Digital Twins. | Sruthi Sudhakar, Jon Hanzelka, Josh Bobillot, Tanmay Randhavane, Neel Joshi, Vibhav Vineet |
| 2023 | WACV | Scaling Novel Object Detection with Weakly Supervised Detection Transformers. | Tyler LaBonte, Yale Song, Xin Wang, Vibhav Vineet, Neel Joshi |
| 2022 | ACL | Image Retrieval from Contextual Descriptions. | Benno Krojer, Vaibhav Adlakha, Vibhav Vineet, Yash Goyal, Edoardo Maria Ponti, Siva Reddy |
| 2022 | CVPR | Robust Contrastive Learning against Noisy Views. | Ching-Yao Chuang, R. Devon Hjelm, Xin Wang, Vibhav Vineet, Neel Joshi, Antonio Torralba, Stefanie Jegelka, Yale Song |
| 2022 | CVPR | Learning to Align Sequential Actions in the Wild. | Weizhe Liu, Bugra Tekin, Huseyin Coskun, Vibhav Vineet, Pascal Fua, Marc Pollefeys |
| 2022 | ECCV | Neural-Sim: Learning to Generate Training Data with NeRF. | Yunhao Ge, Harkirat S. Behl, Jiashu Xu, Suriya Gunasekar, Neel Joshi, Yale Song, Xin Wang, Laurent Itti, Vibhav Vineet |
| 2022 | ECCV | MTFormer: Multi-task Learning via Transformer and Cross-Task Reasoning. | Xiaogang Xu, Hengshuang Zhao, Vibhav Vineet, Ser-Nam Lim, Antonio Torralba |
| 2022 | ICLR | Missingness Bias in Model Debugging. | Saachi Jain, Hadi Salman, Eric Wong, Pengchuan Zhang, Vibhav Vineet, Sai Vemprala, Aleksander Madry |
| 2022 | IROS | Learning to Simulate Realistic LiDARs. | Benot Guillard, Sai Vemprala, Jayesh K. Gupta, Ondrej Miksik, Vibhav Vineet, Pascal Fua, Ashish Kapoor |
| 2022 | IROS | Inferring Articulated Rigid Body Dynamics from RGBD Video. | Eric Heiden, Ziang Liu, Vibhav Vineet, Erwin Coumans, Gaurav S. Sukhatme |
| 2021 | CoRL | 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 |
| 2021 | ICASSP | Prediction of Object Geometry from Acoustic Scattering Using Convolutional Neural Networks. | Ziqi Fan, Vibhav Vineet, Chenshen Lu, T. W. Wu, Kyla A. McMullen |
| 2020 | ECCV | AutoSimulate: (Quickly) Learning Synthetic Data Generation. | Harkirat Singh Behl, Atilim Gnes Baydin, Ran Gal, Philip H. S. Torr, Vibhav Vineet |
| 2020 | ICASSP | Fast Acoustic Scattering Using Convolutional Neural Networks. | Ziqi Fan, Vibhav Vineet, Hannes Gamper, Nikunj Raghuvanshi |
| 2020 | IROS | Learning Visuomotor Policies for Aerial Navigation Using Cross-Modal Representations. | Rogerio Bonatti, Ratnesh Madaan, Vibhav Vineet, Sebastian A. Scherer, Ashish Kapoor |
| 2019 | CVPR | Live Reconstruction of Large-Scale Dynamic Outdoor Worlds. | Ondrej Miksik, Vibhav Vineet |
| 2019 | CVPR | Privacy-Preserving Action Recognition Using Coded Aperture Videos. | Zihao W. Wang, Vibhav Vineet, Francesco Pittaluga, Sudipta N. Sinha, Oliver Cossairt, Sing Bing Kang |
| 2019 | ICIP | Photorealistic Image Synthesis for Object Instance Detection. | Toms Hodan, Vibhav Vineet, Ran Gal, Emanuel Shalev, Jon Hanzelka, Treb Connell, Pedro Urbina, Sudipta N. Sinha, Brian Guenter |
| 2016 | CVPR | Feature Space Optimization for Semantic Video Segmentation. | Abhijit Kundu, Vibhav Vineet, Vladlen Koltun |
| 2016 | CVPR | Dense Monocular Depth Estimation in Complex Dynamic Scenes. | Ren Ranftl, Vibhav Vineet, Qifeng Chen, Vladlen Koltun |
| 2016 | ECCV | Playing for Data: Ground Truth from Computer Games. | Stephan R. Richter, Vibhav Vineet, Stefan Roth, Vladlen Koltun |
| 2015 | CHI | The Semantic Paintbrush: Interactive 3D Mapping and Recognition in Large Outdoor Spaces. | Ondrej Miksik, Vibhav Vineet, Morten Lidegaard, Ram Prasaath, Matthias Niener, Stuart Golodetz, Stephen L. Hicks, Patrick Prez, Shahram Izadi, Philip H. S. Torr |
| 2015 | ICCV | 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 |
| 2015 | IROS | Incremental dense multi-modal 3D scene reconstruction. | Ondrej Miksik, Yousef Amar, Vibhav Vineet, Patrick Prez, Philip H. S. Torr |
| 2015 | ICRA | Incremental dense semantic stereo fusion for large-scale semantic scene reconstruction. | Vibhav Vineet, Ondrej Miksik, Morten Lidegaard, Matthias Niener, Stuart Golodetz, Victor Adrian Prisacariu, Olaf Khler, David William Murray, Shahram Izadi, Patrick Prez, Philip H. S. Torr |
| 2015 | SIGGRAPH | SemanticPaint: interactive segmentation and learning of 3D worlds. | Stuart Golodetz, Michael Sapienza, Julien P. C. Valentin, Vibhav Vineet, Ming-Ming Cheng, Victor Adrian Prisacariu, Olaf Khler, Carl Yuheng Ren, Anurag Arnab, Stephen L. Hicks, David William Murray, Shahram Izadi, Philip H. S. Torr |
| 2015 | SIGGRAPH | SemanticPaint: interactive segmentation and learning of 3D world. | Julien P. C. Valentin, Vibhav Vineet, Ming-Ming Cheng, David Kim, Jamie Shotton, Pushmeet Kohli, Matthias Niener, Antonio Criminisi, Shahram Izadi, Philip H. S. Torr |
| 2014 | BMVC | Distributed Non-convex ADMM-based inference in large-scale random fields. | Ondrej Miksik, Vibhav Vineet, Patrick Prez, Philip H. S. Torr |
| 2014 | CVPR | 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 |
| 2014 | ECCV | The Visual Object Tracking VOT2014 Challenge Results. | Matej Kristan, Roman P. Pflugfelder, Ales Leonardis, Jiri Matas, Luka Cehovin, Georg Nebehay, Toms Vojr, Gustavo Fernndez, Alan Lukezic, Aleksandar Dimitriev, Alfredo Petrosino, Amir Saffari, Bo Li, Bohyung Han, Cherkeng Heng, Christophe Garcia, Dominik Pangersic, Gustav Hger, Fahad Shahbaz Khan, Franci Oven, Horst Possegger, Horst Bischof, Hyeonseob Nam, Jianke Zhu, Jijia Li, Jin Young Choi, Jinwoo Choi, Joo F. Henriques, Joost van de Weijer, Jorge Batista, Karel Lebeda, Kristoffer fjll, 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 | ICCV | Efficient Salient Region Detection with Soft Image Abstraction. | Ming-Ming Cheng, Jonathan Warrell, Wen-Yan Lin, Shuai Zheng, Vibhav Vineet, Nigel T. Crook |
| 2012 | BMVC | Improved Initialization and Gaussian Mixture Pairwise Terms for Dense Random Fields with Mean-field Inference. | Vibhav Vineet, Jonathan Warrell, Paul Sturgess, Philip H. S. Torr |
| 2012 | CVPR | A tiered move-making algorithm for general pairwise MRFs. | Vibhav Vineet, Jonathan Warrell, Philip H. S. Torr |
| 2012 | ECCV | Filter-Based Mean-Field Inference for Random Fields with Higher-Order Terms and Product Label-Spaces. | Vibhav Vineet, Jonathan Warrell, Philip H. S. Torr |
| 2011 | BMVC | Human Instance Segmentation from Video using Detector-based Conditional Random Fields. | Vibhav Vineet, Jonathan Warrell, Lubor Ladicky, Philip H. S. Torr |
| 2009 | ACCV | Solving Multilabel MRFs Using Incremental | Vibhav Vineet, P. J. Narayanan |
| 2008 | CVPR | CUDA cuts: Fast graph cuts on the GPU. | Vibhav Vineet, P. J. Narayanan |