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20242026
most citedAGSwap: Overcoming Category Boundaries in Object Fusion via Adaptive Group Swapping

2 citations · 2 across the 21 of their papers we have counts for

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cs.CV2026

PhysVR: Vision-Language Model Guided Interference-aware Temporal Feature Refinement for Remote Physiological Measurement

Zixu Li, Jianjun Qian, Hang Shao +3

Remote photoplethysmography (rPPG) enables contactless physiological measurement from facial videos, yet its subtle pulse-related variations are easily affected by illumination var…

cs.CV2026

Proxy Avatar Meets Low-Rank Caching: Real-Time One-Shot Emotion-Controllable Portrait Animation

Haijie Yang, Jindi Bao, Yixuan Dong +6

Audio-driven portrait animation has advanced rapidly with diffusion-based generative models, yet real-time one-shot generation with expressive emotion control remains challenging.…

cs.CV2026

GaussianEmoTalker: Real-Time Emotional Talking Head Synthesis with Audio-Driven and Blendshape-Based 3D Gaussian Splatting

Haijie Yang, Zhenyu Zhang, Yixuan Dong +2

Audio-driven talking head synthesis has achieved impressive progress in lip synchronization and visual quality, yet generating expressive emotional avatars with controllable intens…

cs.CV2026

OrthoTryOn: Geometric Orthogonalization for Conflict-Free Unified Fashion Generation

Zhaotong Yang, Ying Tai, Jiahui Zhan +3

Unified fashion generation integrates tasks like virtual try-on and garment reconstruction into a single model to reduce task-specific adaptation costs. However, naive parameter sh…

cs.CV2026

PhysFlow: Frequency Decoupled with Dual-Field Rectified Flow for Remote Photoplethysmography

Zixu Li, jianjun Qian, Hang Shao +2

Remote Photoplethysmography (rPPG) enables contactless pulse estimation from facial videos, serving as a vital tool for health monitoring. However, current deep learning methods of…

cs.CV2026

GEM: Generating LiDAR World Model via Deformable Mamba

Yang Wu, Zhaojiang Liu, Qiang Meng +5

World models, which simulate environmental dynamics and generate sensor observations, are gaining increasing attention in autonomous driving. However, progress in LiDAR-based world…

cs.CV2026

ASGNet: Adaptive Spectrum Guidance Network for Automatic Polyp Segmentation

Yanguang Sun, Hengmin Zhang, Jianjun Qian +2

Early identification and removal of polyps can reduce the risk of developing colorectal cancer. However, the diverse morphologies, complex backgrounds and often concealed nature of…

cs.CV2026

Few-Shot Incremental 3D Object Detection in Dynamic Indoor Environments

Yun Zhu, Jianjun Qian, Jian Yang +2

Incremental 3D object perception is a critical step toward embodied intelligence in dynamic indoor environments. However, existing incremental 3D detection methods rely on extensiv…

cs.CV2026

Progressive Representation Learning for Multimodal Sentiment Analysis with Incomplete Modalities

Jindi Bao, Jianjun Qian, Mengkai Yan +1

Multimodal Sentiment Analysis (MSA) seeks to infer human emotions by integrating textual, acoustic, and visual cues. However, existing approaches often rely on all modalities are c…

cs.CV2025

MonoSE(3)-Diffusion: A Monocular SE(3) Diffusion Framework for Robust Camera-to-Robot Pose Estimation

Kangjian Zhu, Haobo Jiang, Yigong Zhang +3

We propose MonoSE(3)-Diffusion, a monocular SE(3) diffusion framework that formulates markerless, image-based robot pose estimation as a conditional denoising diffusion process. Th…

cs.CV2025★ 2 cited

AGSwap: Overcoming Category Boundaries in Object Fusion via Adaptive Group Swapping

Zedong Zhang, Ying Tai, Jianjun Qian +2

Fusing cross-category objects to a single coherent object has gained increasing attention in text-to-image (T2I) generation due to its broad applications in virtual reality, digita…

cs.CV2025

WeatherCycle: Unpaired Multi-Weather Restoration via Color Space Decoupled Cycle Learning

Wenxuan Fang, Jiangwei Weng, Jianjun Qian +2

Unsupervised image restoration under multi-weather conditions remains a fundamental yet underexplored challenge. While existing methods often rely on task-specific physical priors,…

cs.CV2025

Dual-Perspective United Transformer for Object Segmentation in Optical Remote Sensing Images

Yanguang Sun, Jiexi Yan, Jianjun Qian +3

Automatically segmenting objects from optical remote sensing images (ORSIs) is an important task. Most existing models are primarily based on either convolutional or Transformer fe…

cs.CV2025

WeatherGen: A Unified Diverse Weather Generator for LiDAR Point Clouds via Spider Mamba Diffusion

Yang Wu, Yun Zhu, Kaihua Zhang +3

3D scene perception demands a large amount of adverse-weather LiDAR data, yet the cost of LiDAR data collection presents a significant scaling-up challenge. To this end, a series o…

cs.CV2025

Follow Your Motion: A Generic Temporal Consistency Portrait Editing Framework with Trajectory Guidance

Haijie Yang, Zhenyu Zhang, Hao Tang +2

Pre-trained conditional diffusion models have demonstrated remarkable potential in image editing. However, they often face challenges with temporal consistency, particularly in the…

cs.CV2025

Remote Photoplethysmography in Real-World and Extreme Lighting Scenarios

Hang Shao, Lei Luo, Jianjun Qian +3

Physiological activities can be manifested by the sensitive changes in facial imaging. While they are barely observable to our eyes, computer vision manners can, and the derived re…

cs.CV2025

Learning Class Prototypes for Unified Sparse Supervised 3D Object Detection

Yun Zhu, Le Hui, Hang Yang +3

Both indoor and outdoor scene perceptions are essential for embodied intelligence. However, current sparse supervised 3D object detection methods focus solely on outdoor scenes wit…

cs.CV2024

ConsistentAvatar: Learning to Diffuse Fully Consistent Talking Head Avatar with Temporal Guidance

Haijie Yang, Zhenyu Zhang, Hao Tang +2

Diffusion models have shown impressive potential on talking head generation. While plausible appearance and talking effect are achieved, these methods still suffer from temporal, 3…

cs.CV2024

Text2LiDAR: Text-guided LiDAR Point Cloud Generation via Equirectangular Transformer

Yang Wu, Kaihua Zhang, Jianjun Qian +2

The complex traffic environment and various weather conditions make the collection of LiDAR data expensive and challenging. Achieving high-quality and controllable LiDAR data gener…