Lohit, Suhas

23 publications

CVPRW 2025 FreBIS: Frequency-Based Stratification for Neural Implicit Surface Representations Naoko Sawada, Pedro Miraldo, Suhas Lohit, Tim K. Marks, Moitreya Chatterjee

TMLR 2025 G-RepsNet: A Lightweight Construction of Equivariant Networks for Arbitrary Matrix Groups Sourya Basu, Suhas Lohit, Matthew Brand

CVPRW 2025 Multimodal 3D Object Detection on Unseen Domains Deepti Hegde, Suhas Lohit, Kuan-Chuan Peng, Michael Jones, Vishal Patel

ICLRW 2025 Programmatic Video Prediction Using Large Language Models Hao Tang, Kevin Ellis, Suhas Lohit, Michael J. Jones, Moitreya Chatterjee

ECCV 2024 Equivariant Spatio-Temporal Self-Supervision for LiDAR Object Detection Deepti Hegde, Suhas Lohit, Kuan-Chuan Peng, Michael J. Jones, Vishal M. Patel

NeurIPS 2024 Evaluating Large Vision-and-Language Models on Children's Mathematical Olympiads Anoop Cherian, Kuan-Chuan Peng, Suhas Lohit, Joanna Matthiesen, Kevin Smith, Joshua B. Tenenbaum

CVPR 2024 Gear-NeRF: Free-Viewpoint Rendering and Tracking with Motion-Aware Spatio-Temporal Sampling Xinhang Liu, Yu-Wing Tai, Chi-Keung Tang, Pedro Miraldo, Suhas Lohit, Moitreya Chatterjee

WACV 2024 Pixel-Grounded Prototypical Part Networks Zachariah Carmichael, Suhas Lohit, Anoop Cherian, Michael J. Jones, Walter J. Scheirer

CVPR 2024 TI2V-Zero: Zero-Shot Image Conditioning for Text-to-Video Diffusion Models Haomiao Ni, Bernhard Egger, Suhas Lohit, Anoop Cherian, Ye Wang, Toshiaki Koike-Akino, Sharon X. Huang, Tim K. Marks

CVPR 2023 Are Deep Neural Networks SMARTer than Second Graders? Anoop Cherian, Kuan-Chuan Peng, Suhas Lohit, Kevin A. Smith, Joshua B. Tenenbaum

ICCV 2023 Steered Diffusion: A Generalized Framework for Plug-and-Play Conditional Image Synthesis Nithin Gopalakrishnan Nair, Anoop Cherian, Suhas Lohit, Ye Wang, Toshiaki Koike-Akino, Vishal M. Patel, Tim K. Marks

ICCVW 2023 Tensor Factorization for Leveraging Cross-Modal Knowledge in Data-Constrained Infrared Object Detection Manish Sharma, Moitreya Chatterjee, Kuan-Chuan Peng, Suhas Lohit, Michael J. Jones

ECCV 2022 Cross-Modal Knowledge Transfer Without Task-Relevant Source Data Sk Miraj Ahmed, Suhas Lohit, Kuan-Chuan Peng, Michael J. Jones, Amit K. Roy-Chowdhury

NeurIPS 2022 Learning Partial Equivariances from Data David W. Romero, Suhas Lohit

WACV 2022 Model Compression Using Optimal Transport Suhas Lohit, Michael Jones

NeurIPS 2022 What Makes a "Good" Data Augmentation in Knowledge Distillation - A Statistical Perspective Huan Wang, Suhas Lohit, Michael N. Jones, Yun Fu

WACV 2021 Generative Patch Priors for Practical Compressive Image Recovery Rushil Anirudh, Suhas Lohit, Pavan Turaga

WACV 2021 Recovering Trajectories of Unmarked Joints in 3D Human Actions Using Latent Space Optimization Suhas Lohit, Rushil Anirudh, Pavan Turaga

CVPR 2019 Temporal Transformer Networks: Joint Learning of Invariant and Discriminative Time Warping Suhas Lohit, Qiao Wang, Pavan Turaga

CVPRW 2018 Predicting Dynamical Evolution of Human Activities from a Single Image Suhas Lohit, Ankan Bansal, Nitesh Shroff, Jaishanker K. Pillai, Pavan K. Turaga, Rama Chellappa

ICCVW 2017 Learning Invariant Riemannian Geometric Representations Using Deep Nets Suhas Lohit, Pavan K. Turaga

CVPR 2016 ReconNet: Non-Iterative Reconstruction of Images from Compressively Sensed Measurements Kuldeep Kulkarni, Suhas Lohit, Pavan Turaga, Ronan Kerviche, Amit Ashok

CVPRW 2015 Reconstruction-Free Inference on Compressive Measurements Suhas Lohit, Kuldeep Kulkarni, Pavan K. Turaga, Jian Wang, Aswin C. Sankaranarayanan