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20232026
most citedMultimodal Causal Reasoning Benchmark: Challenging Vision Large Language Models to Discern Causal Links Across Modalities

3 citations · 3 across the 9 of their papers we have counts for

collaborators

10 papers

cs.CV2026

DefaultShift: Auditing Semantic Default Shift in Accelerated Text-to-Image Models

Xuanhua Yin, Chuanzhi Xu, Shunqi Mao +2

Few-step text-to-image models increasingly replace slower generators, yet acceleration can silently change distributions over unspecified attributes even when individual outputs re…

cs.CY2026

LLM Nepotism in Organizational Governance

Shunqi Mao, Wei Guo, Dingxin Zhang +2

Large language models are increasingly used to support organizational decisions from hiring to governance, raising fairness concerns in AI-assisted evaluation. Prior work has focus…

cs.CV2025

Ctrl-Z Sampling: Scaling Diffusion Sampling with Controlled Random Zigzag Explorations

Shunqi Mao, Wei Guo, Chaoyi Zhang +3

Diffusion models generate conditional samples by progressively denoising Gaussian noise, yet the denoising trajectory can stall at visually plausible but low-quality outcomes with…

cs.CV2025

Through the Magnifying Glass: Adaptive Perception Magnification for Hallucination-Free VLM Decoding

Shunqi Mao, Chaoyi Zhang, Weidong Cai

Existing vision-language models (VLMs) often suffer from visual hallucination, where the generated responses contain inaccuracies that are not grounded in the visual input. Efforts…

cs.CV2024

Learning to Synthesize Graphics Programs for Geometric Artworks

Qi Bing, Chaoyi Zhang, Weidong Cai

Creating and understanding art has long been a hallmark of human ability. When presented with finished digital artwork, professional graphic artists can intuitively deconstruct and…

cs.CV2024★ 3 cited

Multimodal Causal Reasoning Benchmark: Challenging Vision Large Language Models to Discern Causal Links Across Modalities

Zhiyuan Li, Heng Wang, Dongnan Liu +4

Multimodal Large Language Models (MLLMs) have showcased exceptional Chain-of-Thought (CoT) reasoning ability in complex textual inference tasks including causal reasoning. However,…

cs.CV2024

Controllable Contextualized Image Captioning: Directing the Visual Narrative through User-Defined Highlights

Shunqi Mao, Chaoyi Zhang, Hang Su +3

Contextualized Image Captioning (CIC) evolves traditional image captioning into a more complex domain, necessitating the ability for multimodal reasoning. It aims to generate image…

cs.CV2024

Enhancing Robustness to Noise Corruption for Point Cloud Recognition via Spatial Sorting and Set-Mixing Aggregation Module

Dingxin Zhang, Jianhui Yu, Tengfei Xue +3

Current models for point cloud recognition demonstrate promising performance on synthetic datasets. However, real-world point cloud data inevitably contains noise, impacting model…

eess.IV2024

Exploiting Structural Consistency of Chest Anatomy for Unsupervised Anomaly Detection in Radiography Images

Tiange Xiang, Yixiao Zhang, Yongyi Lu +4

Radiography imaging protocols focus on particular body regions, therefore producing images of great similarity and yielding recurrent anatomical structures across patients. Exploit…

cs.CV2023

PaintHuman: Towards High-fidelity Text-to-3D Human Texturing via Denoised Score Distillation

Jianhui Yu, Hao Zhu, Liming Jiang +3

Recent advances in zero-shot text-to-3D human generation, which employ the human model prior (eg, SMPL) or Score Distillation Sampling (SDS) with pre-trained text-to-image diffusio…