Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Chinese Academy of SciencesCN2.9k papers
- Centre National de la Recherche ScientifiqueFR2.7k papers
- Istituto Nazionale di Fisica Nucleare, Laboratori Nazionali di FrascatiIT2.6k papers
- Institute of High Energy PhysicsCN2.6k papers
- University of Science and Technology of ChinaCN2.5k papers
- Peking UniversityCN2.4k papers
- University of Chinese Academy of SciencesCN2.3k papers
- Istituto Nazionale di Fisica Nucleare, Sezione di Roma IIT2.3k papers
- Institut National de Physique Nucléaire et de Physique des ParticulesFR2.3k papers
- Rutherford Appleton LaboratoryGB2.2k papers
- Istituto Nazionale di Fisica Nucleare, Sezione di GenovaIT2.2k papers
- European Organization for Nuclear ResearchCH2.2k papers
38 papers · 2 filters
SlimmeRF: Slimmable Radiance Fields
Shiran Yuan, Hao Zhao
Neural Radiance Field (NeRF) and its variants have recently emerged as successful methods for novel view synthesis and 3D scene reconstruction. However, most current NeRF models ei…
Unified learning-based lossy and lossless JPEG recompression
Jianghui Zhang, Yuanyuan Wang, Lina Guo +5
JPEG is still the most widely used image compression algorithm. Most image compression algorithms only consider uncompressed original image, while ignoring a large number of alread…
Joint Learning for Scattered Point Cloud Understanding with Hierarchical Self-Distillation
Kaiyue Zhou, Ming Dong, Peiyuan Zhi +1
Numerous point-cloud understanding techniques focus on whole entities and have succeeded in obtaining satisfactory results and limited sparsity tolerance. However, these methods ar…
Single-pixel 3D imaging based on fusion temporal data of single photon detector and millimeter-wave radar
Tingqin Lai, Xiaolin Liang, Yi Zhu +5
Recently, there has been increased attention towards 3D imaging using single-pixel single-photon detection (also known as temporal data) due to its potential advantages in terms of…
DriveMLM: Aligning Multi-Modal Large Language Models with Behavioral Planning States for Autonomous Driving
Erfei Cui, Wenhai Wang, Zhiqi Li +7
Large language models (LLMs) have opened up new possibilities for intelligent agents, endowing them with human-like thinking and cognitive abilities. In this work, we delve into th…
Devil in the Landscapes: Inferring Epidemic Exposure Risks from Street View Imagery
Zhenyu Han, Yanxin Xi, Tong Xia +2
Built environment supports all the daily activities and shapes our health. Leveraging informative street view imagery, previous research has established the profound correlation be…
Context-Aware Indoor Point Cloud Object Generation through User Instructions
Yiyang Luo, Ke Lin, Chao Gu
Indoor scene modification has emerged as a prominent area within computer vision, particularly for its applications in Augmented Reality (AR) and Virtual Reality (VR). Traditional…
LiDAR-HMR: 3D Human Mesh Recovery from LiDAR
Bohao Fan, Wenzhao Zheng, Jianjiang Feng +1
In recent years, point cloud perception tasks have been garnering increasing attention. This paper presents the first attempt to estimate 3D human body mesh from sparse LiDAR point…
From Text to Mask: Localizing Entities Using the Attention of Text-to-Image Diffusion Models
Changming Xiao, Qi Yang, Feng Zhou +1
Diffusion models have revolted the field of text-to-image generation recently. The unique way of fusing text and image information contributes to their remarkable capability of gen…
Versatile Face Animator: Driving Arbitrary 3D Facial Avatar in RGBD Space
Haoyu Wang, Haozhe Wu, Junliang Xing +1
Creating realistic 3D facial animation is crucial for various applications in the movie production and gaming industry, especially with the burgeoning demand in the metaverse. Howe…
CaPhy: Capturing Physical Properties for Animatable Human Avatars
Zhaoqi Su, Liangxiao Hu, Siyou Lin +4
We present CaPhy, a novel method for reconstructing animatable human avatars with realistic dynamic properties for clothing. Specifically, we aim for capturing the geometric and ph…
Semantics2Hands: Transferring Hand Motion Semantics between Avatars
Zijie Ye, Jia Jia, Junliang Xing
Human hands, the primary means of non-verbal communication, convey intricate semantics in various scenarios. Due to the high sensitivity of individuals to hand motions, even minor…
AdvFAS: A robust face anti-spoofing framework against adversarial examples
Jiawei Chen, Xiao Yang, Heng Yin +6
Ensuring the reliability of face recognition systems against presentation attacks necessitates the deployment of face anti-spoofing techniques. Despite considerable advancements in…
VideoPro: A Visual Analytics Approach for Interactive Video Programming
Jianben He, Xingbo Wang, Kam Kwai Wong +6
Constructing supervised machine learning models for real-world video analysis require substantial labeled data, which is costly to acquire due to scarce domain expertise and labori…
MARS: An Instance-aware, Modular and Realistic Simulator for Autonomous Driving
Zirui Wu, Tianyu Liu, Liyi Luo +13
Nowadays, autonomous cars can drive smoothly in ordinary cases, and it is widely recognized that realistic sensor simulation will play a critical role in solving remaining corner c…
Unlocking the Emotional World of Visual Media: An Overview of the Science, Research, and Impact of Understanding Emotion
James Z. Wang, Sicheng Zhao, Chenyan Wu +4
The emergence of artificial emotional intelligence technology is revolutionizing the fields of computers and robotics, allowing for a new level of communication and understanding o…
An Intelligent Remote Sensing Image Quality Inspection System
Yijiong Yu, Tao Wang, Kang Ran +2
Due to the inevitable presence of quality problems, quality inspection of remote sensing images is indeed an indispensable step between the acquisition and the application of them.…
AvatarFusion: Zero-shot Generation of Clothing-Decoupled 3D Avatars Using 2D Diffusion
Shuo Huang, Zongxin Yang, Liangting Li +2
Large-scale pre-trained vision-language models allow for the zero-shot text-based generation of 3D avatars. The previous state-of-the-art method utilized CLIP to supervise neural i…
Bundle-specific Tractogram Distribution Estimation Using Higher-order Streamline Differential Equation
Yuanjing Feng, Lei Xie, Jingqiang Wang +4
Tractography traces the peak directions extracted from fiber orientation distribution (FOD) suffering from ambiguous spatial correspondences between diffusion directions and fiber…
Recognizing Unseen Objects via Multimodal Intensive Knowledge Graph Propagation
Likang Wu, Zhi Li, Hongke Zhao +5
Zero-Shot Learning (ZSL), which aims at automatically recognizing unseen objects, is a promising learning paradigm to understand new real-world knowledge for machines continuously.…
Variational Bayesian Framework for Advanced Image Generation with Domain-Related Variables
Yuxiao Li, Santiago Mazuelas, Yuan Shen
Deep generative models (DGMs) and their conditional counterparts provide a powerful ability for general-purpose generative modeling of data distributions. However, it remains chall…
PoseVocab: Learning Joint-structured Pose Embeddings for Human Avatar Modeling
Zhe Li, Zerong Zheng, Yuxiao Liu +2
Creating pose-driven human avatars is about modeling the mapping from the low-frequency driving pose to high-frequency dynamic human appearances, so an effective pose encoding meth…
Locally Attentional SDF Diffusion for Controllable 3D Shape Generation
Xin-Yang Zheng, Hao Pan, Peng-Shuai Wang +3
Although the recent rapid evolution of 3D generative neural networks greatly improves 3D shape generation, it is still not convenient for ordinary users to create 3D shapes and con…
Multimodal Data Augmentation for Image Captioning using Diffusion Models
Changrong Xiao, Sean Xin Xu, Kunpeng Zhang
Image captioning, an important vision-language task, often requires a tremendous number of finely labeled image-caption pairs for learning the underlying alignment between images a…