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20232026
most citedGaussian Splatting on the Move: Blur and Rolling Shutter Compensation for Natural Camera Motion

1 citations · 3 across the 17 of their papers we have counts for

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8 papers · 1 filter

cs.CV2026

Temporal Self-Distillation: Learning Visual State Tracking in Videos Without Supervision

Shravan Venkatraman, Wenshuai Zhao, Mohammad Hassan Vali +1

We introduce ST (Self-Supervised Self-Distillation over Time), which, to the best of our knowledge, is the first fully self-contained framework for continuous video state track…

cs.CV2026

SplatGuide: Geometric Priors from 3D Gaussians for Pose-Free Novel View Synthesis

Yejun Zhang, Zihan Wang, Xu Ji +8

Generating photorealistic novel views from unposed images requires both 3D geometric understanding and the ability to synthesize unseen content. A natural strategy combines feed-fo…

cs.MM2026

AV-JEPA: Extending LeJEPA to Audio-Visual Self-Supervised Learning

Benjamin Robson, Santeri Mentu, Wenshuai Zhao +1

We present AV-JEPA, an elegant multimodal extension of LeJEPA to audio-visual self-supervised learning. Using an early-fusion Vision Transformer and modality dropout as masking, th…

cs.RO2026

Point Tracking Improves World Action Models

Jiarui Guan, Wenshuai Zhao, Yue Pei +3

Robot policy learning benefits from world-action models that capture environment dynamics, but pixel-level prediction entangles dynamics with nuisance factors such as lighting and…

cs.CV2026

Cross-View Splatter: Feed-Forward View Synthesis with Georeferenced Images

Matias Turkulainen, Akshay Krishnan, Filippo Aleotti +6

We present Cross-View Splatter, a feed-forward method that predicts pixel-aligned Gaussian splats for outdoor scenes captured at ground level AND by satellite. Faithful reconstruct…

cs.CV2026

Latent-Compressed Variational Autoencoder for Video Diffusion Models

Jiarui Guan, Wenshuai Zhao, Zhengtao Zou +2

Video variational autoencoders (VAEs) used in latent diffusion models typically require a sufficiently large number of latent channels to ensure high-quality video reconstruction.…

cs.CV2026

PAWS: Perception of Articulation in the Wild at Scale from Egocentric Videos

Yihao Wang, Yang Miao, Wenshuai Zhao +8

Articulation perception aims to recover the motion and structure of articulated objects (e.g., drawers and cupboards), and is fundamental to 3D scene understanding in robotics, sim…

cs.LG2026

Sparsely Supervised Diffusion

Wenshuai Zhao, Zhiyuan Li, Yi Zhao +5

Diffusion models have shown remarkable success across a wide range of generative tasks. However, they often suffer from spatially inconsistent generation, arguably due to the inher…