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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

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5 papers · 1 filter

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…