activity
20172026
most citedVA-DepthNet: A Variational Approach to Single Image Depth Prediction

18 citations · 95 across the 24 of their papers we have counts for

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Showing 2026Show all

5 papers · 1 filter

cs.CV2026

SSMB: Self-Supervised Local Feature Detection under Motion Blur

Zhenjun Zhao, Fabio Bellavia, Wenting Wang +6

Keypoint detection under motion blur remains a significant challenge, as blur distorts local image structure and degrades the repeatability of feature localization. Existing approa…

cs.CV2026

3D Gaussian Splatting for Efficient Retrospective Dynamic Scene Novel View Synthesis with a Standardized Benchmark

Yunxiao Zhang, Suryansh Kumar

Retrospective novel view synthesis (NVS) of dynamic scenes is fundamental to applications such as sports. Recent dynamic 3D Gaussian Splatting (3DGS) approaches introduce temporall…

cs.CV2026

Rethinking Dense Optical Flow without Test-Time Scaling

Praroop Chanda, Suryansh Kumar

Recent progress in dense optical flow has been driven by increasingly complex architectures and multi-step refinement for test-time scaling. While these approaches achieve strong b…

cs.CV2026

A Dataset and Evaluation for Complex 4D Markerless Human Motion Capture

Yeeun Park, Miqdad Naduthodi, Suryansh Kumar

Marker-based motion capture (MoCap) systems have long been the gold standard for accurate 4D human modeling, yet their reliance on specialized hardware and markers limits scalabili…

cs.CV2026

Time-Archival Camera Virtualization for Sports and Visual Performances

Yunxiao Zhang, William Stone, Suryansh Kumar

Camera virtualization -- an emerging solution to novel view synthesis -- holds transformative potential for visual entertainment, live performances, and sports broadcasting by enab…