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20192026
most citedPredicting the Next Action by Modeling the Abstract Goal

6 citations · 10 across the 13 of their papers we have counts for

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Showing 2026Show all

5 papers · 1 filter

cs.CV2026

Imprint: Online Memory Compression for Long-Horizon Egocentric QA

Kousik Das, Debaditya Roy

Long-horizon egocentric question answering involves answering about events that have occurred hours or days in the past. This requires memory representations that remain both retri…

cs.CV2026

H-GRPO: Permutation-Invariant Reinforcement Learning for Grounded Visual Reasoning

Eric Peh, Debaditya Roy, Basura Fernando

Vision-Language Models (VLMs) often achieve high performance on benchmarks while remaining "black boxes", yet they remain prone to hallucination or rely on superficial shortcuts. I…

cs.AI2026

Do VLMs Reason Like Engineers? A Benchmark and a Stage-wise Evaluation

Syed Wasiq, Syed Mohamad Tawseeq, Yashwant Pravinrao Bangde +1

Vision-Language Models (VLMs) demonstrate strong performance on general multimodal reasoning benchmarks, yet their ability to perform engineering reasoning remains largely unexplor…

cs.CV2026

Improving Temporal Action Segmentation via Constraint-Aware Decoding

Yeo Keat Ee, Debaditya Roy, Chen Li +2

Temporal action segmentation (TAS) divides untrimmed videos into labeled action segments. While fully supervised methods have advanced the field, challenges such as action variabil…

cs.CV2026

Instruction-Evidence Contrastive Dual-Stream Decoding for Grounded Vision-Language Reasoning

Yashwant Pravinrao Bangde, Debaditya Roy

Vision-Language Models (VLMs) exhibit strong performance in instruction following and open-ended vision-language reasoning, yet they frequently generate fluent outputs that are wea…