most citedFire360: A Benchmark for Robust Perception and Episodic Memory in Degraded 360-Degree Firefighting Videos

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cs.CV2026

Does Video Memory Use What It Retrieves? A Causal Audit of Memory Specificity

Aditi Tiwari, Akshit Bhalla, Darshan Prasad +1

Video models increasingly use memory to preserve information over long sequences, with the assumption that gains come from retrieving and using the correct past content. Standard m…

cs.CV2026

Feature Recovery for Object Understanding After Irreversible Fire Damage

Aditi Tiwari, Sofia Stoica, Savya Khosla +2

Objects in post-fire environments often undergo irreversible physical transformations that change their geometry, material state, and visual appearance. Detecting and identifying t…

cs.CV2026

ViTAL-X: Video-Text Alignment with Cross-Modal Temporal Edits

Sethuraman T, Savya Khosla, Onkar Kishor Susladkar +6

Video-text models adapted from image-text architectures (e.g., CLIP) frequently exhibit temporal blindness, the inability to perceive fundamental cues like order, direction, and mo…

cs.CV2026

Stress Tests REVEAL Fragile Temporal and Visual Grounding in Video-Language Models

Sethuraman T, Savya Khosla, Aditi Tiwari +12

Video-Language Models (VidLMs) achieve strong benchmark scores, yet these scores often hide whether models use the video at all. We show that VidLM failures follow two pathways: so…

cs.CV2026

Predicting Camera Pose from Perspective Descriptions for Spatial Reasoning

Xuejun Zhang, Aditi Tiwari, Zhenhailong Wang +1

Multi-image spatial reasoning remains challenging for current multimodal large language models (MLLMs). While single-view perception is inherently 2D, reasoning over multiple views…

cs.CV2025★ 1 cited

Fire360: A Benchmark for Robust Perception and Episodic Memory in Degraded 360-Degree Firefighting Videos

Aditi Tiwari, Farzaneh Masoud, Dac Trong Nguyen +3

Modern AI systems struggle most in environments where reliability is critical - scenes with smoke, poor visibility, and structural deformation. Each year, tens of thousands of fire…

cs.CV2025

ACT360: An Efficient 360-Degree Action Detection and Summarization Framework for Mission-Critical Training and Debriefing

Aditi Tiwari, Klara Nahrstedt

Effective training and debriefing are critical in high-stakes, mission-critical environments such as disaster response, military simulations, and industrial safety, where precision…