activity
20232025
most citedNested Annealed Training Scheme for Generative Adversarial Networks

1 citations · 2 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CL2025

Discrete Tokenization for Multimodal LLMs: A Comprehensive Survey

Jindong Li, Yali Fu, Jiahong Liu +5

The rapid advancement of large language models (LLMs) has intensified the need for effective mechanisms to transform continuous multimodal data into discrete representations suitab…

cs.CV2025★ 1 cited

Nested Annealed Training Scheme for Generative Adversarial Networks

Chang Wan, Ming-Hsuan Yang, Minglu Li +2

Recently, researchers have proposed many deep generative models, including generative adversarial networks(GANs) and denoising diffusion models. Although significant breakthroughs…

cs.CV2024

Scene Prior Filtering for Depth Super-Resolution

Zhengxue Wang, Zhiqiang Yan, Ming-Hsuan Yang +4

Multi-modal fusion serves as a cornerstone for successful depth map super-resolution. However, commonly used fusion strategies, such as addition and concatenation, fall short of ef…

cs.CV2023

Restoration-Oriented Video Frame Interpolation with Region-Distinguishable Priors from SAM

Yan Han, Xiaogang Xu, Yingqi Lin +3

In existing restoration-oriented Video Frame Interpolation (VFI) approaches, the motion estimation between neighboring frames plays a crucial role. However, the estimation accuracy…

cs.CV2023★ 1 cited

Reference Twice: A Simple and Unified Baseline for Few-Shot Instance Segmentation

Yue Han, Jiangning Zhang, Yabiao Wang +5

Few-Shot Instance Segmentation (FSIS) requires detecting and segmenting novel classes with limited support examples. Existing methods based on Region Proposal Networks (RPNs) face…