3 citations · 6 across the 11 of their papers we have counts for
12 papers
ThinkGen: Generalized Thinking for Visual Generation
Siyu Jiao, Yiheng Lin, Yujie Zhong +9
Recent progress in Multimodal Large Language Models (MLLMs) demonstrates that Chain-of-Thought (CoT) reasoning enables systematic solutions to complex understanding tasks. However,…
RoboTron-Sim: Improving Real-World Driving via Simulated Hard-Case
Baihui Xiao, Chengjian Feng, Zhijian Huang +3
Collecting real-world data for rare high-risk scenarios, long-tailed driving events, and complex interactions remains challenging, leading to poor performance of existing autonomou…
DisTime: Distribution-based Time Representation for Video Large Language Models
Yingsen Zeng, Zepeng Huang, Yujie Zhong +4
Despite advances in general video understanding, Video Large Language Models (Video-LLMs) face challenges in precise temporal localization due to discrete time representations and…
AP-CAP: Advancing High-Quality Data Synthesis for Animal Pose Estimation via a Controllable Image Generation Pipeline
Lei Wang, Yujie Zhong, Xiaopeng Sun +5
The task of 2D animal pose estimation plays a crucial role in advancing deep learning applications in animal behavior analysis and ecological research. Despite notable progress in…
InstructVEdit: A Holistic Approach for Instructional Video Editing
Chi Zhang, Chengjian Feng, Feng Yan +5
Video editing according to instructions is a highly challenging task due to the difficulty in collecting large-scale, high-quality edited video pair data. This scarcity not only li…
RoboTron-Drive: All-in-One Large Multimodal Model for Autonomous Driving
Zhijian Huang, Chengjian Feng, Feng Yan +5
Large Multimodal Models (LMMs) have demonstrated exceptional comprehension and interpretation capabilities in Autonomous Driving (AD) by incorporating large language models. Despit…
MRStyle: A Unified Framework for Color Style Transfer with Multi-Modality Reference
Jiancheng Huang, Yu Gao, Zequn Jie +3
In this paper, we introduce MRStyle, a comprehensive framework that enables color style transfer using multi-modality reference, including image and text. To achieve a unified styl…
MindBench: A Comprehensive Benchmark for Mind Map Structure Recognition and Analysis
Lei Chen, Feng Yan, Yujie Zhong +3
Multimodal Large Language Models (MLLM) have made significant progress in the field of document analysis. Despite this, existing benchmarks typically focus only on extracting text…
Matten: Video Generation with Mamba-Attention
Yu Gao, Jiancheng Huang, Xiaopeng Sun +3
In this paper, we introduce Matten, a cutting-edge latent diffusion model with Mamba-Attention architecture for video generation. With minimal computational cost, Matten employs sp…
LaSagnA: Language-based Segmentation Assistant for Complex Queries
Cong Wei, Haoxian Tan, Yujie Zhong +2
Recent advancements have empowered Large Language Models for Vision (vLLMs) to generate detailed perceptual outcomes, including bounding boxes and masks. Nonetheless, there are two…
UniMD: Towards Unifying Moment Retrieval and Temporal Action Detection
Yingsen Zeng, Yujie Zhong, Chengjian Feng +1
Temporal Action Detection (TAD) focuses on detecting pre-defined actions, while Moment Retrieval (MR) aims to identify the events described by open-ended natural language within un…
Temporal Action Localization with Enhanced Instant Discriminability
Dingfeng Shi, Qiong Cao, Yujie Zhong +4
Temporal action detection (TAD) aims to detect all action boundaries and their corresponding categories in an untrimmed video. The unclear boundaries of actions in videos often res…