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20232026
most citedThe Curious Case of Nonverbal Abstract Reasoning with Multi-Modal Large Language Models

3 citations · 4 across the 16 of their papers we have counts for

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10 papers · 1 filter

cs.CV2026

Pix2Fact: When Vision Is Not Enough -- Benchmarking Fine-Grained VQA with Web Verification on High-Resolution Real-World Scenes

Yifan Jiang, Cong Zhang, Bofei Zhang +4

Despite progress on general tasks, vision-language models (VLMs) still struggle with challenges that demand both fine-grained visual grounding and external knowledge, a synergy ove…

cs.CV2026

LFS: Learnable Frame Selector for Event-Aware and Temporally Diverse Video Captioning

Lianying Chao, Linfeng Yin, Peiyu Ren +8

Video captioning models convert frames into visual tokens and generate descriptions with large language models (LLMs). Since encoding all frames is prohibitively expensive, uniform…

cs.CV2025

FUSE-RSVLM: Feature Fusion Vision-Language Model for Remote Sensing

Yunkai Dang, Donghao Wang, Jiacheng Yang +7

Large vision-language models (VLMs) exhibit strong performance across various tasks. However, these VLMs encounter significant challenges when applied to the remote sensing domain…

cs.CV2025

VIDEOP2R: Video Understanding from Perception to Reasoning

Yifan Jiang, Yueying Wang, Rui Zhao +4

Reinforcement fine-tuning (RFT), a two-stage framework consisting of supervised fine-tuning (SFT) and reinforcement learning (RL) has shown promising results on improving reasoning…

cs.CV2025★ 1 cited

GSM8K-V: Can Vision Language Models Solve Grade School Math Word Problems in Visual Contexts

Fan Yuan, Yuchen Yan, Yifan Jiang +9

Mathematical reasoning is a key capability for vision-language models (VLMs), yet current benchmarks mainly evaluate text-based or explicitly symbolic visual inputs. It remains unc…

cs.CV2025

A Study of Commonsense Reasoning over Visual Object Properties

Abhishek Kolari, Mohammadhossein Khojasteh, Yifan Jiang +2

Inspired by human categorization, visual reasoning about object properties, such as physical attributes and functions, involves identifying and recognizing low-level details and hi…

cs.CV2025

Graph-Guided Dual-Level Augmentation for 3D Scene Segmentation

Hongbin Lin, Yifan Jiang, Juangui Xu +5

3D point cloud segmentation aims to assign semantic labels to individual points in a scene for fine-grained spatial understanding. Existing methods typically adopt data augmentatio…

cs.CV2025

DiMeR: Disentangled Mesh Reconstruction Model

Lutao Jiang, Jiantao Lin, Kanghao Chen +7

We propose DiMeR, a novel geometry-texture disentangled feed-forward model with 3D supervision for sparse-view mesh reconstruction. Existing methods confront two persistent obstacl…

cs.CV2024

COLUMBUS: Evaluating COgnitive Lateral Understanding through Multiple-choice reBUSes

Koen Kraaijveld, Yifan Jiang, Kaixin Ma +1

While visual question-answering (VQA) benchmarks have catalyzed the development of reasoning techniques, they have focused on vertical thinking. Effective problem-solving also nece…

cs.CV2024

MARVEL: Multidimensional Abstraction and Reasoning through Visual Evaluation and Learning

Yifan Jiang, Jiarui Zhang, Kexuan Sun +5

While multi-modal large language models (MLLMs) have shown significant progress on many popular visual reasoning benchmarks, whether they possess abstract visual reasoning abilitie…