Mehta, Nikhil

14 publications

CVPR 2025 Apollo: An Exploration of Video Understanding in Large Multimodal Models Orr Zohar, Xiaohan Wang, Yann Dubois, Nikhil Mehta, Tong Xiao, Philippe Hansen-Estruch, Licheng Yu, Xiaofang Wang, Felix Juefei-Xu, Ning Zhang, Serena Yeung-Levy, Xide Xia

CVPR 2025 Building a Mind Palace: Structuring Environment-Grounded Semantic Graphs for Effective Long Video Analysis with LLMs Zeyi Huang, Yuyang Ji, Xiaofang Wang, Nikhil Mehta, Tong Xiao, Donghyun Lee, Sigmund Vanvalkenburgh, Shengxin Zha, Bolin Lai, Licheng Yu, Ning Zhang, Yong Jae Lee, Miao Liu

CVPR 2025 Unleashing In-Context Learning of Autoregressive Models for Few-Shot Image Manipulation Bolin Lai, Felix Juefei-Xu, Miao Liu, Xiaoliang Dai, Nikhil Mehta, Chenguang Zhu, Zeyi Huang, James M. Rehg, Sangmin Lee, Ning Zhang, Tong Xiao

WACV 2024 HyperMix: Out-of-Distribution Detection and Classification in Few-Shot Settings Nikhil Mehta, Kevin J. Liang, Jing Huang, Fu-Jen Chu, Li Yin, Tal Hassner

ECCVW 2024 Improving Hyperparameter Optimization with Checkpointed Model Weights Nikhil Mehta, Jonathan Lorraine, Steve Masson, Ramanathan Arunachalam, Zaid Pervaiz Bhat, James Lucas, Arun George Zachariah

WACV 2024 Meta-Learned Attribute Self-Interaction Network for Continual and Generalized Zero-Shot Learning Vinay Verma, Nikhil Mehta, Kevin J. Liang, Aakansha Mishra, Lawrence Carin

WACV 2023 Pushing the Efficiency Limit Using Structured Sparse Convolutions Vinay Kumar Verma, Nikhil Mehta, Shijing Si, Ricardo Henao, Lawrence Carin

NeurIPS 2023 Recommender Systems with Generative Retrieval Shashank Rajput, Nikhil Mehta, Anima Singh, Raghunandan Hulikal Keshavan, Trung Vu, Lukasz Heldt, Lichan Hong, Yi Tay, Vinh Tran, Jonah Samost, Maciej Kula, Ed Chi, Maheswaran Sathiamoorthy

AISTATS 2021 Continual Learning Using a Bayesian Nonparametric Dictionary of Weight Factors Nikhil Mehta, Kevin Liang, Vinay Kumar Verma, Lawrence Carin

AISTATS 2021 Counterfactual Representation Learning with Balancing Weights Serge Assaad, Shuxi Zeng, Chenyang Tao, Shounak Datta, Nikhil Mehta, Ricardo Henao, Fan Li, Lawrence Carin

CVPR 2021 Efficient Feature Transformations for Discriminative and Generative Continual Learning Vinay Kumar Verma, Kevin J Liang, Nikhil Mehta, Piyush Rai, Lawrence Carin

AAAI 2020 Graph Representation Learning via Ladder Gamma Variational Autoencoders Arindam Sarkar, Nikhil Mehta, Piyush Rai

AISTATS 2019 Deep Topic Models for Multi-Label Learning Rajat Panda, Ankit Pensia, Nikhil Mehta, Mingyuan Zhou, Piyush Rai

ICML 2019 Stochastic Blockmodels Meet Graph Neural Networks Nikhil Mehta, Lawrence Carin Duke, Piyush Rai