Roy, Anirban

17 publications

WACV 2025 Cap2Aug: Caption Guided Image Data Augmentation Aniket Roy, Anshul Shah, Ketul Shah, Anirban Roy, Rama Chellappa

ICCV 2025 TOGA: Temporally Grounded Open-Ended Video QA with Weak Supervision Ayush Gupta, Anirban Roy, Rama Chellappa, Nathaniel D. Bastian, Alvaro Velasquez, Susmit Jha

ICLRW 2025 TeleLoRA: Teleporting Alignment Across Large Language Models for Trojan Mitigation Xiao Lin, Manoj Acharya, Anirban Roy, Susmit Jha

WACV 2025 Zero-Shot Detection of Out-of-Context Objects Using Foundation Models Anirban Roy, Adam Cobb, Ramneet Kaur, Sumit Jha, Nathaniel Bastian, Alexander Berenbeim, Robert Thomson, Iain Cruickshank, Alvaro Velasquez, Susmit Jha

NeurIPSW 2024 Addressing Uncertainty in LLMs to Enhance Reliability in Generative AI Ramneet Kaur, Colin Samplawski, Adam D. Cobb, Anirban Roy, Brian Matejek, Manoj Acharya, Daniel Elenius, Alexander Michael Berenbeim, John A. Pavlik, Nathaniel D. Bastian, Susmit Jha

AAAI 2024 Direct Amortized Likelihood Ratio Estimation Adam D. Cobb, Brian Matejek, Daniel Elenius, Anirban Roy, Susmit Jha

NeurIPS 2023 AircraftVerse: A Large-Scale Multimodal Dataset of Aerial Vehicle Designs Adam Cobb, Anirban Roy, Daniel Elenius, Frederick Heim, Brian Swenson, Sydney Whittington, James Walker, Theodore Bapty, Joseph Hite, Karthik Ramani, Christopher McComb, Susmit Jha

CVPR 2023 Class Prototypes Based Contrastive Learning for Classifying Multi-Label and Fine-Grained Educational Videos Rohit Gupta, Anirban Roy, Claire Christensen, Sujeong Kim, Sarah Gerard, Madeline Cincebeaux, Ajay Divakaran, Todd Grindal, Mubarak Shah

JMLR 2023 Principled Out-of-Distribution Detection via Multiple Testing Akshayaa Magesh, Venugopal V. Veeravalli, Anirban Roy, Susmit Jha

ICCV 2023 TIJO: Trigger Inversion with Joint Optimization for Defending Multimodal Backdoored Models Indranil Sur, Karan Sikka, Matthew Walmer, Kaushik Koneripalli, Anirban Roy, Xiao Lin, Ajay Divakaran, Susmit Jha

NeurIPSW 2023 Universal Trojan Signatures in Reinforcement Learning Manoj Acharya, Weichao Zhou, Anirban Roy, Xiao Lin, Wenchao Li, Susmit Jha

IJCAI 2022 Detecting Out-of-Context Objects Using Graph Contextual Reasoning Network Manoj Acharya, Anirban Roy, Kaushik Koneripalli, Susmit Jha, Christopher Kanan, Ajay Divakaran

AAAI 2022 iDECODe: In-Distribution Equivariance for Conformal Out-of-Distribution Detection Ramneet Kaur, Susmit Jha, Anirban Roy, Sangdon Park, Edgar Dobriban, Oleg Sokolsky, Insup Lee

CVPR 2017 Combining Bottom-up, Top-Down, and Smoothness Cues for Weakly Supervised Image Segmentation Anirban Roy, Sinisa Todorovic

ECCV 2016 A Multi-Scale CNN for Affordance Segmentation in RGB Images Anirban Roy, Sinisa Todorovic

CVPR 2016 Monocular Depth Estimation Using Neural Regression Forest Anirban Roy, Sinisa Todorovic

CVPR 2014 Scene Labeling Using Beam Search Under Mutex Constraints Anirban Roy, Sinisa Todorovic