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20232026
most citedDropPos: Pre-Training Vision Transformers by Reconstructing Dropped Positions

4 citations · 4 across the 4 of their papers we have counts for

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cs.CV2026

Generating a Paracosm for Training-Free Zero-Shot Composed Image Retrieval

Tong Wang, Yunhan Zhao, Shu Kong

Composed Image Retrieval (CIR) is the task of retrieving a target image from a database using a multimodal query, which consists of a reference image and a modification text. The t…

cs.CV2025

RayFusion: Ray Fusion Enhanced Collaborative Visual Perception

Shaohong Wang, Bin Lu, Xinyu Xiao +6

Collaborative visual perception methods have gained widespread attention in the autonomous driving community in recent years due to their ability to address sensor limitation probl…

cs.CV2023

Semantic-Aware Autoregressive Image Modeling for Visual Representation Learning

Kaiyou Song, Shan Zhang, Tong Wang

The development of autoregressive modeling (AM) in computer vision lags behind natural language processing (NLP) in self-supervised pre-training. This is mainly caused by the chall…

cs.CV2023

Adaptive Multi-NeRF: Exploit Efficient Parallelism in Adaptive Multiple Scale Neural Radiance Field Rendering

Tong Wang, Shuichi Kurabayashi

Recent advances in Neural Radiance Fields (NeRF) have demonstrated significant potential for representing 3D scene appearances as implicit neural networks, enabling the synthesis o…

cs.CV20234 cited

DropPos: Pre-Training Vision Transformers by Reconstructing Dropped Positions

Haochen Wang, Junsong Fan, Yuxi Wang +3

As it is empirically observed that Vision Transformers (ViTs) are quite insensitive to the order of input tokens, the need for an appropriate self-supervised pretext task that enha…