12 citations · 16 across the 5 of their papers we have counts for
5 papers
Global Pose Control for Generative View Synthesis in Normalized Object Coordinate Space
Zhibing Li, Amogh Gupta, Behnoosh Parsa +1
Novel View Synthesis (NVS) enables the generation of unseen views of a scene from a single or multiple images, allowing users to freely explore an object from any viewpoint. Despit…
SHARD: Safe and Helpful Alignment via Self-Reframing Distillation
Viswonathan Manoranjan, Amogh Gupta, Anvesh Rao Vijjini +2
Large language models often struggle with sensitive prompts. They may refuse outright, provide generic safety boilerplate, or fail to address the user's legitimate informational ne…
Compounding Disadvantage: Auditing Intersectional Bias in LLM-Generated Explanations Across Indian and American STEM Education
Amogh Gupta, Niharika Patil, Sourojit Ghosh +2
Large language models are increasingly deployed in STEM education for personalized instruction and feedback across institutions in high- and low-income countries. These systems are…
Generative Interventions for Causal Learning
Chengzhi Mao, Augustine Cha, Amogh Gupta +3
We introduce a framework for learning robust visual representations that generalize to new viewpoints, backgrounds, and scene contexts. Discriminative models often learn naturally…
Multitask Learning Strengthens Adversarial Robustness
Chengzhi Mao, Amogh Gupta, Vikram Nitin +4
Although deep networks achieve strong accuracy on a range of computer vision benchmarks, they remain vulnerable to adversarial attacks, where imperceptible input perturbations fool…