Pritish Sahu

According to our database, Pritish Sahu authored at least 15 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Pelican: Correcting Hallucination in Vision-LLMs via Claim Decomposition and Program of Thought Verification.

Pritish Sahu, Karan Sikka, Ajay Divakaran

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2022

Unpacking Large Language Models with Conceptual Consistency.

Pritish Sahu, Michael Cogswell, Yunye Gong, Ajay Divakaran

CoRR, 2022

Challenges in Procedural Multimodal Machine Comprehension: A Novel Way To Benchmark.

Pritish Sahu, Karan Sikka, Ajay Divakaran

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

SAViR-T: Spatially Attentive Visual Reasoning with Transformers.

Pritish Sahu, Kalliopi Basioti, Vladimir Pavlovic

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

DAReN: A Collaborative Approach Towards Visual Reasoning And Disentangling.

Pritish Sahu, Kalliopi Basioti, Vladimir Pavlovic

Proceedings of the 26th International Conference on Pattern Recognition, 2022

2021

DAReN: A Collaborative Approach Towards Reasoning And Disentangling.

Pritish Sahu, Vladimir Pavlovic

CoRR, 2021

Towards Solving Multimodal Comprehension.

Pritish Sahu, Karan Sikka, Ajay Divakaran

CoRR, 2021

Comprehension Based Question Answering using Bloom's Taxonomy.

Pritish Sahu, Michael Cogswell, Ajay Divakaran, Sara Rutherford-Quach

Proceedings of the 6th Workshop on Representation Learning for NLP, 2021

2020

Unsupervised Multi-Target Domain Adaptation: An Information Theoretic Approach.

Behnam Gholami, Pritish Sahu, Ognjen Rudovic, Konstantinos Bousmalis, Vladimir Pavlovic

IEEE Trans. Image Process., 2020

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

2019

Relevance Factor VAE: Learning and Identifying Disentangled Factors.

Minyoung Kim, Yuting Wang, Pritish Sahu, Vladimir Pavlovic

CoRR, 2019

Task-Discriminative Domain Alignment for Unsupervised Domain Adaptation.

Behnam Gholami, Pritish Sahu, Minyoung Kim, Vladimir Pavlovic

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Bayes-Factor-VAE: Hierarchical Bayesian Deep Auto-Encoder Models for Factor Disentanglement.

Minyoung Kim, Yuting Wang, Pritish Sahu, Vladimir Pavlovic

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Unsupervised Visual Domain Adaptation: A Deep Max-Margin Gaussian Process Approach.

Minyoung Kim, Pritish Sahu, Behnam Gholami, Vladimir Pavlovic

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2016

Filling in the blanks: reconstructing microscopic crowd motion from multiple disparate noisy sensors.

Sejong Yoon, Mubbasir Kapadia, Pritish Sahu, Vladimir Pavlovic

Proceedings of the 2016 IEEE Winter Applications of Computer Vision Workshops, 2016