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20232026
most citedBridging the Domain Gap between Synthetic and Real-World Data for Autonomous Driving

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

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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

Generation Models Know Space: Unleashing Implicit 3D Priors for Scene Understanding

Xianjin Wu, Dingkang Liang, Tianrui Feng +5

While Multimodal Large Language Models demonstrate impressive semantic capabilities, they often suffer from spatial blindness, struggling with fine-grained geometric reasoning and…

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…

cs.CV2025

Lang2Motion: Bridging Language and Motion through Joint Embedding Spaces

Bishoy Galoaa, Xiangyu Bai, Sarah Ostadabbas

We present Lang2Motion, a framework for language-guided point trajectory generation by aligning motion manifolds with joint embedding spaces. Unlike prior work focusing on human mo…

cs.CV2025

MoReGen: Multi-Agent Motion-Reasoning Engine for Code-based Text-to-Video Synthesis

Xiangyu Bai, He Liang, Bishoy Galoaa +4

While text-to-video (T2V) generation has achieved remarkable progress in photorealism, generating intent-aligned videos that faithfully obey physics principles remains a core chall…

cs.CV2025

Look Around and Pay Attention: Multi-camera Point Tracking Reimagined with Transformers

Bishoy Galoaa, Xiangyu Bai, Shayda Moezzi +4

This paper presents LAPA (Look Around and Pay Attention), a novel end-to-end transformer-based architecture for multi-camera point tracking that integrates appearance-based matchin…