26 citations · 38 across the 10 of their papers we have counts for
11 papers
Vorch-Director: Interactive World Story Model via Noise-Aware Error Rectification
Lisai Zhang, Yidi Wu, Qi Liu +7
Autoregressive continuation provides a natural path toward minute-scale audio-visual generation by repeatedly extending a short-window generator conditioned on previously generated…
UniCAD: A Unified Benchmark and Universal Model for Multi-Modal Multi-Task CAD
Jingyuan Chen, Sheng Jin, Haopeng Sun +2
Computer-Aided Design (CAD) underpins modern engineering and manufacturing by enabling the creation of precise, editable 3D models. However, CAD research typically studies tasks in…
TIDE: Task-Isolated Diffusion for Unified Video Editing and Generation
Qi Liu, Gang Yue, Mingyu Yin +7
Recent advances in Diffusion Transformers have driven rapid progress in video generation and editing, yet these capabilities are still handled by separate, task-specific models. Bu…
UITron-Speech: Towards Automated GUI Agents Based on Speech Instructions
Wenkang Han, Zhixiong Zeng, Jing Huang +7
Autonomous agents for Graphical User Interfaces (GUIs) are revolutionizing human-computer interaction, yet their reliance on text-based instructions imposes limitations on accessib…
ScaleTrack: Scaling and back-tracking Automated GUI Agents
Jing Huang, Zhixiong Zeng, Wenkang Han +5
Automated GUI agents aims to facilitate user interaction by automatically performing complex tasks in digital environments, such as web, mobile, desktop devices. It receives textua…
sDREAMER: Self-distilled Mixture-of-Modality-Experts Transformer for Automatic Sleep Staging
Jingyuan Chen, Yuan Yao, Mie Anderson +5
Automatic sleep staging based on electroencephalography (EEG) and electromyography (EMG) signals is an important aspect of sleep-related research. Current sleep staging methods suf…
Ouroboros-Diffusion: Exploring Consistent Content Generation in Tuning-free Long Video Diffusion
Jingyuan Chen, Fuchen Long, Jie An +4
The first-in-first-out (FIFO) video diffusion, built on a pre-trained text-to-video model, has recently emerged as an effective approach for tuning-free long video generation. This…
The Blessings of Unlabeled Background in Untrimmed Videos
Yuan Liu, Jingyuan Chen, Zhenfang Chen +3
Weakly-supervised Temporal Action Localization (WTAL) aims to detect the action segments with only video-level action labels in training. The key challenge is how to distinguish th…
Learning to Segment the Tail
Xinting Hu, Yi Jiang, Kaihua Tang +3
Real-world visual recognition requires handling the extreme sample imbalance in large-scale long-tailed data. We propose a "divide&conquer" strategy for the challenging LVIS task:…
Real-Time Referring Expression Comprehension by Single-Stage Grounding Network
Xinpeng Chen, Lin Ma, Jingyuan Chen +3
In this paper, we propose a novel end-to-end model, namely Single-Stage Grounding network (SSG), to localize the referent given a referring expression within an image. Different fr…
Fine-grained Video Attractiveness Prediction Using Multimodal Deep Learning on a Large Real-world Dataset
Xinpeng Chen, Jingyuan Chen, Lin Ma +4
Nowadays, billions of videos are online ready to be viewed and shared. Among an enormous volume of videos, some popular ones are widely viewed by online users while the majority at…