1 citations · 2 across the 11 of their papers we have counts for
13 papers
Reconstructing the Dynamic World: A Representation-Centric View of 4D Scene Reconstruction
Ziren Gong, Guo Chen, Yongjia Li +13
4D scene reconstruction aims to recover the evolving geometry, appearance, and motion of dynamic environments from visual observations. Despite substantial progress in neural scene…
ReMoMask-2: Latent Retrieval-Augmented Masked Motion Generation
Yiran Wang, Zeyu Zhang, Ling Shao +1
Text-to-motion (T2M) generation maps natural language to human joint movements, aiding gaming, VR, and robotics. Retrieval-Augmented Text-to-Motion (RAG-T2M) improves generation on…
VaseMuseum: Digital Intelligent Museum for Ancient Greek Pottery
Jiazi Wang, Nonghai Zhang, Qiushi Xie +5
Vision-language models (VLMs) have made interactive digital museums increasingly feasible by connecting 3D digitization with natural-language artifact exploration. However, in cult…
SCOPE: Simulating Cross-game Operations in Playable Environments for FPS World Models
Zizhao Tong, Yeying Jin, Hongfeng Lai +11
Interactive world models for first-person shooter (FPS) games must resolve high-frequency overlapping control signals at every frame without disrupting unaffected regions. Existing…
Spatial-Temporal Graph Mamba for Music-Guided Dance Video Synthesis
Hao Tang, Ling Shao, Zhenyu Zhang +2
We propose a novel spatial-temporal graph Mamba (STG-Mamba) for the music-guided dance video synthesis task, i.e., to translate the input music to a dance video. STG-Mamba consists…
Replace in Translation: Boost Concept Alignment in Counterfactual Text-to-Image
Sifan Li, Ming Tao, Hao Zhao +2
Text-to-Image (T2I) has been prevalent in recent years, with most common condition tasks having been optimized nicely. Besides, counterfactual Text-to-Image is obstructing us from…
SAMba-UNet: SAM2-Mamba UNet for Cardiac MRI in Medical Robotic Perception
Guohao Huo, Ruiting Dai, Ling Shao +1
To address complex pathological feature extraction in automated cardiac MRI segmentation, we propose SAMba-UNet, a novel dual-encoder architecture that synergistically combines the…
MambaIC: State Space Models for High-Performance Learned Image Compression
Fanhu Zeng, Hao Tang, Yihua Shao +3
A high-performance image compression algorithm is crucial for real-time information transmission across numerous fields. Despite rapid progress in image compression, computational…
Frequency Domain Enhanced U-Net for Low-Frequency Information-Rich Image Segmentation in Surgical and Deep-Sea Exploration Robots
Guohao Huo, Ruiting Dai, Jinliang Liu +2
In deep-sea exploration and surgical robotics scenarios, environmental lighting and device resolution limitations often cause high-frequency feature attenuation. Addressing the dif…
Enhanced Multi-Scale Cross-Attention for Person Image Generation
Hao Tang, Ling Shao, Nicu Sebe +1
In this paper, we propose a novel cross-attention-based generative adversarial network (GAN) for the challenging person image generation task. Cross-attention is a novel and intuit…
AllRestorer: All-in-One Transformer for Image Restoration under Composite Degradations
Jiawei Mao, Yu Yang, Xuesong Yin +2
Image restoration models often face the simultaneous interaction of multiple degradations in real-world scenarios. Existing approaches typically handle single or composite degradat…
GWQ: Gradient-Aware Weight Quantization for Large Language Models
Yihua Shao, Yan Gu, Siyu Chen +12
Large language models (LLMs) show impressive performance in solving complex language tasks. However, its large number of parameters presents significant challenges for the deployme…
MM: Learning controllable Multi of experts and multi-scale operators are the Partial Differential Equations need
Aoming Liang, Zhaoyang Mu, Pengxiao Lin +5
Learning the evolutionary dynamics of Partial Differential Equations (PDEs) is critical in understanding dynamic systems, yet current methods insufficiently learn their representat…