Unsupervised multi-target domain adaptation: An information theoretic approach B Gholami, P Sahu, O Rudovic, K Bousmalis, V Pavlovic IEEE Transactions on Image Processing 29, 3993-4002, 2020 | 217 | 2020 |
Unsupervised visual domain adaptation: A deep max-margin gaussian process approach M Kim, P Sahu, B Gholami, V Pavlovic Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 53 | 2019 |
Relevance factor vae: Learning and identifying disentangled factors M Kim, Y Wang, P Sahu, V Pavlovic arXiv preprint arXiv:1902.01568, 2019 | 37 | 2019 |
Bayes-factor-vae: Hierarchical bayesian deep auto-encoder models for factor disentanglement M Kim, Y Wang, P Sahu, V Pavlovic Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 33 | 2019 |
Task-discriminative domain alignment for unsupervised domain adaptation B Gholami, P Sahu, M Kim, V Pavlovic Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 14 | 2019 |
Unpacking large language models with conceptual consistency P Sahu, M Cogswell, Y Gong, A Divakaran arXiv preprint arXiv:2209.15093, 2022 | 13 | 2022 |
Filling in the blanks: Reconstructing microscopic crowd motion from multiple disparate noisy sensors S Yoon, M Kapadia, P Sahu, V Pavlovic 2016 IEEE Winter Applications of Computer Vision Workshops (WACVW), 1-9, 2016 | 8 | 2016 |
Comprehension based question answering using Bloom's Taxonomy P Sahu, M Cogswell, S Rutherford-Quach, A Divakaran arXiv preprint arXiv:2106.04653, 2021 | 7 | 2021 |
Savir-t: Spatially attentive visual reasoning with transformers P Sahu, K Basioti, V Pavlovic Joint European Conference on Machine Learning and Knowledge Discovery in …, 2022 | 5 | 2022 |
Spatially Attentive Visual Reasoning with Transformers P Sahu, K Basioti, VST Pavlovic Preprint at https://arxiv. org/abs/2206.09265, 2022 | 5 | 2022 |
Zero-shot learning with knowledge enhanced visual semantic embeddings K Sikka, J Huang, A Silberfarb, P Nayak, L Rohrer, P Sahu, J Byrnes, ... arXiv preprint arXiv:2011.10889, 2020 | 4 | 2020 |
Method and system for determining a measure of conceptual consistency in large language models M Cogswell, A Divakaran, Y Gong, S Pritish US Patent App. 18/541,035, 2024 | 2 | 2024 |
System and method for content comprehension and response A Divakaran, K Sikka, Y Yao, Y Gong, N Stephanie, S Pritish, ... US Patent 11,934,793, 2024 | 2 | 2024 |
Pelican: Correcting Hallucination in Vision-LLMs via Claim Decomposition and Program of Thought Verification P Sahu, K Sikka, A Divakaran arXiv preprint arXiv:2407.02352, 2024 | 1 | 2024 |
Challenges in Procedural Multimodal Machine Comprehension: A Novel Way To Benchmark P Sahu, K Sikka, A Divakaran Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022 | 1 | 2022 |
Towards solving multimodal comprehension P Sahu, K Sikka, A Divakaran arXiv preprint arXiv:2104.10139, 2021 | 1 | 2021 |
Adapting a language model for multimodal multi-task learning K Sikka, M Cogswell, S Pritish, M Ye, A Rahman, R Sridhar, A Divakaran US Patent App. 18/619,916, 2024 | | 2024 |
Unlocking Visual Reasoning: Exploring Representations for Enhanced Problem-Solving P Sahu Rutgers The State University of New Jersey, School of Graduate Studies, 2024 | | 2024 |
System and method for comprehension based question answering using taxonomy A Divakaran, MA Cogswell, S Pritish US Patent App. 17/869,589, 2023 | | 2023 |
DAReN: A Collaborative Approach Towards Visual Reasoning And Disentangling P Sahu, K Basioti, V Pavlovic 2022 26th International Conference on Pattern Recognition (ICPR), 4448-4455, 2022 | | 2022 |