activity
20202026
most citedCounterfactual Zero-Shot and Open-Set Visual Recognition

21 citations · 27 across the 4 of their papers we have counts for

collaborators

7 papers

cs.LG2026

Efficient Matrix Implementation for Rotary Position Embedding

Chen Minqi, Zhongqi Yue, Shihao Zhang +5

Rotary Position Embedding (RoPE) has become a core component of modern Transformer architectures across language, vision, and 3D domains. However, existing implementations rely on…

cs.CV2026

Thinking with Images as Continuous Actions: Numerical Visual Chain-of-Thought

Kesen Zhao, Beier Zhu, Junbao Zhou +3

Recent multimodal large language models (MLLMs) increasingly rely on visual chain-of-thought to perform region-grounded reasoning over images. However, existing approaches ground r…

cs.CV2024

AnyEdit: Mastering Unified High-Quality Image Editing for Any Idea

Qifan Yu, Wei Chow, Zhongqi Yue +7

Instruction-based image editing aims to modify specific image elements with natural language instructions. However, current models in this domain often struggle to accurately execu…

cs.CV20214 cited

Self-Supervised Learning Disentangled Group Representation as Feature

Tan Wang, Zhongqi Yue, Jianqiang Huang +2

A good visual representation is an inference map from observations (images) to features (vectors) that faithfully reflects the hidden modularized generative factors (semantics). In…

cs.CV20212 cited

Transporting Causal Mechanisms for Unsupervised Domain Adaptation

Zhongqi Yue, Qianru Sun, Xian-Sheng Hua +1

Existing Unsupervised Domain Adaptation (UDA) literature adopts the covariate shift and conditional shift assumptions, which essentially encourage models to learn common features a…

cs.CV202121 cited

Counterfactual Zero-Shot and Open-Set Visual Recognition

Zhongqi Yue, Tan Wang, Hanwang Zhang +2

We present a novel counterfactual framework for both Zero-Shot Learning (ZSL) and Open-Set Recognition (OSR), whose common challenge is generalizing to the unseen-classes by only t…