Filling in the blanks: reconstructing microscopic crowd motion from multiple disparate noisy sensors. - Sejong Yoon; Mubbasir Kapadia; Pritish Sahu; Vladimir Pavlovic 001 (WACV Workshops, 2016)

Unsupervised Visual Domain Adaptation: A Deep Max-Margin Gaussian Process Approach. - Minyoung Kim 001; Pritish Sahu; Behnam Gholami; Vladimir Pavlovic 001 (CVPR, 2019)

Bayes-Factor-VAE: Hierarchical Bayesian Deep Auto-Encoder Models for Factor Disentanglement. - Minyoung Kim 001; Yuting Wang 004; Pritish Sahu; Vladimir Pavlovic 001 (ICCV, 2019)

Task-Discriminative Domain Alignment for Unsupervised Domain Adaptation. - Behnam Gholami; Pritish Sahu; Minyoung Kim 001; Vladimir Pavlovic 001 (ICCV Workshops, 2019)

Relevance Factor VAE: Learning and Identifying Disentangled Factors. - Minyoung Kim 001; Yuting Wang 004; Pritish Sahu; Vladimir Pavlovic 001 (CoRR, 2019)

Zero-Shot Learning with Knowledge Enhanced Visual Semantic Embeddings. - Karan Sikka; Jihua Huang; Andrew Silberfarb; Prateeth Nayak; Luke Rohrer; Pritish Sahu; John Byrnes; Ajay Divakaran; Richard Rohwer (CoRR, 2020)

Unsupervised Multi-Target Domain Adaptation: An Information Theoretic Approach. - Behnam Gholami; Pritish Sahu; Ognjen Rudovic; Konstantinos Bousmalis; Vladimir Pavlovic 001 (IEEE Trans. Image Process., 2020)

Comprehension Based Question Answering using Bloom's Taxonomy. - Pritish Sahu; Michael Cogswell; Ajay Divakaran; Sara Rutherford-Quach (RepL4NLP@ACL-IJCNLP, 2021)

Towards Solving Multimodal Comprehension. - Pritish Sahu; Karan Sikka; Ajay Divakaran (CoRR, 2021)

DAReN: A Collaborative Approach Towards Reasoning And Disentangling. - Pritish Sahu; Vladimir Pavlovic 001 (CoRR, 2021)

DAReN: A Collaborative Approach Towards Visual Reasoning And Disentangling. - Pritish Sahu; Kalliopi Basioti; Vladimir Pavlovic 001 (ICPR, 2022)

SAViR-T: Spatially Attentive Visual Reasoning with Transformers. - Pritish Sahu; Kalliopi Basioti; Vladimir Pavlovic 001 (ECML/PKDD (3), 2022)

Challenges in Procedural Multimodal Machine Comprehension: A Novel Way To Benchmark. - Pritish Sahu; Karan Sikka; Ajay Divakaran (WACV, 2022)

Unpacking Large Language Models with Conceptual Consistency. - Pritish Sahu; Michael Cogswell; Yunye Gong; Ajay Divakaran (CoRR, 2022)

Pelican: Correcting Hallucination in Vision-LLMs via Claim Decomposition and Program of Thought Verification. - Pritish Sahu; Karan Sikka; Ajay Divakaran (EMNLP, 2024)

GenVP: Generating Visual Puzzles with Contrastive Hierarchical VAEs. - Kalliopi Basioti; Pritish Sahu; Tony Qingze Liu; Zihao Xu 001; Hao Wang 014; Vladimir Pavlovic 001 (ICLR, 2025)

SayCoNav: Utilizing Large Language Models for Adaptive Collaboration in Decentralized Multi-Robot Navigation. - Abhinav Rajvanshi; Pritish Sahu; Tixiao Shan; Karan Sikka; Han-Pang Chiu (CoRR, 2025)