activity
20222025
most citedFlowFormer++: Masked Cost Volume Autoencoding for Pretraining Optical Flow Estimation

4 citations · 11 across the 10 of their papers we have counts for

collaborators

10 papers

cs.CV2025

Parallel Sequence Modeling via Generalized Spatial Propagation Network

Hongjun Wang, Wonmin Byeon, Jiarui Xu +6

We present the Generalized Spatial Propagation Network (GSPN), a new attention mechanism optimized for vision tasks that inherently captures 2D spatial structures. Existing attenti…

cs.CR2024

Meme Trojan: Backdoor Attacks Against Hateful Meme Detection via Cross-Modal Triggers

Ruofei Wang, Hongzhan Lin, Ziyuan Luo +4

Hateful meme detection aims to prevent the proliferation of hateful memes on various social media platforms. Considering its impact on social environments, this paper introduces a…

cs.CV2024

GeometrySticker: Enabling Ownership Claim of Recolorized Neural Radiance Fields

Xiufeng Huang, Ka Chun Cheung, Simon See +1

Remarkable advancements in the recolorization of Neural Radiance Fields (NeRF) have simplified the process of modifying NeRF's color attributes. Yet, with the potential of NeRF to…

cs.CV2024

Protecting NeRFs' Copyright via Plug-And-Play Watermarking Base Model

Qi Song, Ziyuan Luo, Ka Chun Cheung +2

Neural Radiance Fields (NeRFs) have become a key method for 3D scene representation. With the rising prominence and influence of NeRF, safeguarding its intellectual property has be…

cs.CV20241 cited

RegionGPT: Towards Region Understanding Vision Language Model

Qiushan Guo, Shalini De Mello, Hongxu Yin +5

Vision language models (VLMs) have experienced rapid advancements through the integration of large language models (LLMs) with image-text pairs, yet they struggle with detailed reg…

cs.CV20241 cited

Motion-I2V: Consistent and Controllable Image-to-Video Generation with Explicit Motion Modeling

Xiaoyu Shi, Zhaoyang Huang, Fu-Yun Wang +9

We introduce Motion-I2V, a novel framework for consistent and controllable image-to-video generation (I2V). In contrast to previous methods that directly learn the complicated imag…