234 citations · 2k across the 144 of their papers we have counts for
141 papers · 1 filter
A Mutual Learning Method for Salient Object Detection with intertwined Multi-Supervision--Revised
Runmin Wu, Mengyang Feng, Wenlong Guan +3
Though deep learning techniques have made great progress in salient object detection recently, the predicted saliency maps still suffer from incomplete predictions due to the inter…
ReSyncer: Rewiring Style-based Generator for Unified Audio-Visually Synced Facial Performer
Jiazhi Guan, Zhiliang Xu, Hang Zhou +10
Lip-syncing videos with given audio is the foundation for various applications including the creation of virtual presenters or performers. While recent studies explore high-fidelit…
Add-SD: Rational Generation without Manual Reference
Lingfeng Yang, Xinyu Zhang, Xiang Li +7
Diffusion models have exhibited remarkable prowess in visual generalization. Building on this success, we introduce an instruction-based object addition pipeline, named Add-SD, whi…
LaMI-DETR: Open-Vocabulary Detection with Language Model Instruction
Penghui Du, Yu Wang, Yifan Sun +7
Existing methods enhance open-vocabulary object detection by leveraging the robust open-vocabulary recognition capabilities of Vision-Language Models (VLMs), such as CLIP.However,…
OPEN: Object-wise Position Embedding for Multi-view 3D Object Detection
Jinghua Hou, Tong Wang, Xiaoqing Ye +6
Accurate depth information is crucial for enhancing the performance of multi-view 3D object detection. Despite the success of some existing multi-view 3D detectors utilizing pixel-…
OVLW-DETR: Open-Vocabulary Light-Weighted Detection Transformer
Yu Wang, Xiangbo Su, Qiang Chen +6
Open-vocabulary object detection focusing on detecting novel categories guided by natural language. In this report, we propose Open-Vocabulary Light-Weighted Detection Transformer…
VDG: Vision-Only Dynamic Gaussian for Driving Simulation
Hao Li, Jingfeng Li, Dingwen Zhang +7
Dynamic Gaussian splatting has led to impressive scene reconstruction and image synthesis advances in novel views. Existing methods, however, heavily rely on pre-computed poses and…
Skim then Focus: Integrating Contextual and Fine-grained Views for Repetitive Action Counting
Zhengqi Zhao, Xiaohu Huang, Hao Zhou +6
The key to action counting is accurately locating each video's repetitive actions. Instead of estimating the probability of each frame belonging to an action directly, we propose a…
LW-DETR: A Transformer Replacement to YOLO for Real-Time Detection
Qiang Chen, Xiangbo Su, Xinyu Zhang +12
In this paper, we present a light-weight detection transformer, LW-DETR, which outperforms YOLOs for real-time object detection. The architecture is a simple stack of a ViT encoder…
StrucTexTv3: An Efficient Vision-Language Model for Text-rich Image Perception, Comprehension, and Beyond
Pengyuan Lyu, Yulin Li, Hao Zhou +8
Text-rich images have significant and extensive value, deeply integrated into various aspects of human life. Notably, both visual cues and linguistic symbols in text-rich images pl…
XLD: A Cross-Lane Dataset for Benchmarking Novel Driving View Synthesis
Hao Li, Chenming Wu, Ming Yuan +7
Comprehensive testing of autonomous systems through simulation is essential to ensure the safety of autonomous driving vehicles. This requires the generation of safety-critical sce…
OpenGaussian: Towards Point-Level 3D Gaussian-based Open Vocabulary Understanding
Yanmin Wu, Jiarui Meng, Haijie Li +8
This paper introduces OpenGaussian, a method based on 3D Gaussian Splatting (3DGS) capable of 3D point-level open vocabulary understanding. Our primary motivation stems from observ…
Towards Unified Multi-granularity Text Detection with Interactive Attention
Xingyu Wan, Chengquan Zhang, Pengyuan Lyu +5
Existing OCR engines or document image analysis systems typically rely on training separate models for text detection in varying scenarios and granularities, leading to significant…
Gradient-based Sampling for Class Imbalanced Semi-supervised Object Detection
Jiaming Li, Xiangru Lin, Wei Zhang +6
Current semi-supervised object detection (SSOD) algorithms typically assume class balanced datasets (PASCAL VOC etc.) or slightly class imbalanced datasets (MS-COCO, etc). This ass…
TexRO: Generating Delicate Textures of 3D Models by Recursive Optimization
Jinbo Wu, Xing Liu, Chenming Wu +7
This paper presents TexRO, a novel method for generating delicate textures of a known 3D mesh by optimizing its UV texture. The key contributions are two-fold. We propose an optima…
GGRt: Towards Pose-free Generalizable 3D Gaussian Splatting in Real-time
Hao Li, Yuanyuan Gao, Chenming Wu +7
This paper presents GGRt, a novel approach to generalizable novel view synthesis that alleviates the need for real camera poses, complexity in processing high-resolution images, an…
GVA: Reconstructing Vivid 3D Gaussian Avatars from Monocular Videos
Xinqi Liu, Chenming Wu, Jialun Liu +6
In this paper, we present a novel method that facilitates the creation of vivid 3D Gaussian avatars from monocular video inputs (GVA). Our innovation lies in addressing the intrica…
Decoupled Pseudo-labeling for Semi-Supervised Monocular 3D Object Detection
Jiacheng Zhang, Jiaming Li, Xiangru Lin +6
We delve into pseudo-labeling for semi-supervised monocular 3D object detection (SSM3OD) and discover two primary issues: a misalignment between the prediction quality of 3D and 2D…
VRP-SAM: SAM with Visual Reference Prompt
Yanpeng Sun, Jiahui Chen, Shan Zhang +7
In this paper, we propose a novel Visual Reference Prompt (VRP) encoder that empowers the Segment Anything Model (SAM) to utilize annotated reference images as prompts for segmenta…
MS-DETR: Efficient DETR Training with Mixed Supervision
Chuyang Zhao, Yifan Sun, Wenhao Wang +4
DETR accomplishes end-to-end object detection through iteratively generating multiple object candidates based on image features and promoting one candidate for each ground-truth ob…
GIR: 3D Gaussian Inverse Rendering for Relightable Scene Factorization
Yahao Shi, Yanmin Wu, Chenming Wu +7
This paper presents a 3D Gaussian Inverse Rendering (GIR) method, employing 3D Gaussian representations to effectively factorize the scene into material properties, light, and geom…
HAP: Structure-Aware Masked Image Modeling for Human-Centric Perception
Junkun Yuan, Xinyu Zhang, Hao Zhou +12
Model pre-training is essential in human-centric perception. In this paper, we first introduce masked image modeling (MIM) as a pre-training approach for this task. Upon revisiting…
Accelerating Vision Transformers Based on Heterogeneous Attention Patterns
Deli Yu, Teng Xi, Jianwei Li +7
Recently, Vision Transformers (ViTs) have attracted a lot of attention in the field of computer vision. Generally, the powerful representative capacity of ViTs mainly benefits from…
Forward Flow for Novel View Synthesis of Dynamic Scenes
Xiang Guo, Jiadai Sun, Yuchao Dai +6
This paper proposes a neural radiance field (NeRF) approach for novel view synthesis of dynamic scenes using forward warping. Existing methods often adopt a static NeRF to represen…