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20232026
most citedUncertainty-Aware Ankle Exoskeleton Control

1 citations · 1 across the 12 of their papers we have counts for

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cs.CV2026

MotionBlind: Probing the Illusion of Motion Understanding in Video-LLMs

Dhairya Bhatia, Bishoy Galoaa, Oliver Fritsche +7

Video large language models (Video-LLMs) are increasingly used as the perceptual front end of world models, a role that assumes they can read motion: how fast something moves, whic…

cs.CV2026

PanoWorld: Geometry-Consistent Panoramic Video World Modeling

Le Jiang, Xiangyu Bai, Bishoy Galoaa +7

We present PanoWorld, a panoramic video world model that generates geometry-consistent 360 video from a single image and a caption. Existing panoramic video methods optimi…

cs.CV2026

HORNet: Task-Guided Frame Selection for Video Question Answering with Vision-Language Models

Xiangyu Bai, Bishoy Galoaa, Sarah Ostadabbas

Video question answering (VQA) with vision-language models (VLMs) depends critically on which frames are selected from the input video, yet most systems rely on uniform or heuristi…

cs.CV2026

Motion-o: Trajectory-Grounded Video Reasoning

Bishoy Galoaa, Shayda Moezzi, Xiangyu Bai +1

Recent video reasoning models increasingly produce spatio-temporal evidence chains that localize objects at specific timestamps. While these traces improve interpretability by grou…

cs.CV2026

UniTrack: Differentiable Graph Representation Learning for Multi-Object Tracking

Bishoy Galoaa, Xiangyu Bai, Utsav Nandi +3

We present UniTrack, a plug-and-play graph-theoretic loss function designed to significantly enhance multi-object tracking (MOT) performance by directly optimizing tracking-specifi…

cs.CV2026

Structure Over Scale: Learning Visual Reasoning from Pedagogical Video

Bishoy Galoaa, Xiangyu Bai, Sarah Ostadabbas

State-of-the-art vision-language models (VLMs) score impressively on video benchmarks yet stumble on basic visual reasoning tasks involving spatial relations, navigation, and objec…