1.3k citations · 2.8k across the 97 of their papers we have counts for
98 papers
LCReg: Long-Tailed Image Classification with Latent Categories based Recognition
Weide Liu, Zhonghua Wu, Yiming Wang +4
In this work, we tackle the challenging problem of long-tailed image recognition. Previous long-tailed recognition approaches mainly focus on data augmentation or re-balancing stra…
Neural Vector Fields: Generalizing Distance Vector Fields by Codebooks and Zero-Curl Regularization
Xianghui Yang, Guosheng Lin, Zhenghao Chen +1
Recent neural networks based surface reconstruction can be roughly divided into two categories, one warping templates explicitly and the other representing 3D surfaces implicitly.…
Improving Video Violence Recognition with Human Interaction Learning on 3D Skeleton Point Clouds
Yukun Su, Guosheng Lin, Qingyao Wu
Deep learning has proved to be very effective in video action recognition. Video violence recognition attempts to learn the human multi-dynamic behaviours in more complex scenarios…
Unlimited Knowledge Distillation for Action Recognition in the Dark
Ruibing Jin, Guosheng Lin, Min Wu +4
Dark videos often lose essential information, which causes the knowledge learned by networks is not enough to accurately recognize actions. Existing knowledge assembling methods re…
Self-Calibrated Cross Attention Network for Few-Shot Segmentation
Qianxiong Xu, Wenting Zhao, Guosheng Lin +1
The key to the success of few-shot segmentation (FSS) lies in how to effectively utilize support samples. Most solutions compress support foreground (FG) features into prototypes,…
Weakly Supervised 3D Instance Segmentation without Instance-level Annotations
Shichao Dong, Guosheng Lin
3D semantic scene understanding tasks have achieved great success with the emergence of deep learning, but often require a huge amount of manually annotated training data. To allev…
StableLLaVA: Enhanced Visual Instruction Tuning with Synthesized Image-Dialogue Data
Yanda Li, Chi Zhang, Gang Yu +6
The remarkable multimodal capabilities demonstrated by OpenAI's GPT-4 have sparked significant interest in the development of multimodal Large Language Models (LLMs). A primary res…
StyleAvatar3D: Leveraging Image-Text Diffusion Models for High-Fidelity 3D Avatar Generation
Chi Zhang, Yiwen Chen, Yijun Fu +7
The recent advancements in image-text diffusion models have stimulated research interest in large-scale 3D generative models. Nevertheless, the limited availability of diverse 3D r…
OR-NeRF: Object Removing from 3D Scenes Guided by Multiview Segmentation with Neural Radiance Fields
Youtan Yin, Zhoujie Fu, Fan Yang +1
The emergence of Neural Radiance Fields (NeRF) for novel view synthesis has increased interest in 3D scene editing. An essential task in editing is removing objects from a scene wh…
StarNet: Style-Aware 3D Point Cloud Generation
Yunfan Zhang, Hao Wang, Guosheng Lin +3
This paper investigates an open research task of reconstructing and generating 3D point clouds. Most existing works of 3D generative models directly take the Gaussian prior as inpu…
Harmonizing Base and Novel Classes: A Class-Contrastive Approach for Generalized Few-Shot Segmentation
Weide Liu, Zhonghua Wu, Yang Zhao +4
Current methods for few-shot segmentation (FSSeg) have mainly focused on improving the performance of novel classes while neglecting the performance of base classes. To overcome th…
TAPS3D: Text-Guided 3D Textured Shape Generation from Pseudo Supervision
Jiacheng Wei, Hao Wang, Jiashi Feng +2
In this paper, we investigate an open research task of generating controllable 3D textured shapes from the given textual descriptions. Previous works either require ground truth ca…
Reliability-Adaptive Consistency Regularization for Weakly-Supervised Point Cloud Segmentation
Zhonghua Wu, Yicheng Wu, Guosheng Lin +1
Weakly-supervised point cloud segmentation with extremely limited labels is highly desirable to alleviate the expensive costs of collecting densely annotated 3D points. This paper…
Neural Vector Fields: Implicit Representation by Explicit Learning
Xianghui Yang, Guosheng Lin, Zhenghao Chen +1
Deep neural networks (DNNs) are widely applied for nowadays 3D surface reconstruction tasks and such methods can be further divided into two categories, which respectively warp tem…
Effective End-to-End Vision Language Pretraining with Semantic Visual Loss
Xiaofeng Yang, Fayao Liu, Guosheng Lin
Current vision language pretraining models are dominated by methods using region visual features extracted from object detectors. Given their good performance, the extract-then-pro…
Generalizable Person Re-Identification via Viewpoint Alignment and Fusion
Bingliang Jiao, Lingqiao Liu, Liying Gao +5
In the current person Re-identification (ReID) methods, most domain generalization works focus on dealing with style differences between domains while largely ignoring unpredictabl…
Unsupervised 3D Pose Transfer with Cross Consistency and Dual Reconstruction
Chaoyue Song, Jiacheng Wei, Ruibo Li +2
The goal of 3D pose transfer is to transfer the pose from the source mesh to the target mesh while preserving the identity information (e.g., face, body shape) of the target mesh.…
IntegratedPIFu: Integrated Pixel Aligned Implicit Function for Single-view Human Reconstruction
Kennard Yanting Chan, Guosheng Lin, Haiyu Zhao +1
We propose IntegratedPIFu, a new pixel aligned implicit model that builds on the foundation set by PIFuHD. IntegratedPIFu shows how depth and human parsing information can be predi…
Indoor Smartphone SLAM with Learned Echoic Location Features
Wenjie Luo, Qun Song, Zhenyu Yan +2
Indoor self-localization is a highly demanded system function for smartphones. The current solutions based on inertial, radio frequency, and geomagnetic sensing may have degraded p…
ManiCLIP: Multi-Attribute Face Manipulation from Text
Hao Wang, Guosheng Lin, Ana García del Molino +3
In this paper we present a novel multi-attribute face manipulation method based on textual descriptions. Previous text-based image editing methods either require test-time optimiza…
SymmNeRF: Learning to Explore Symmetry Prior for Single-View View Synthesis
Xingyi Li, Chaoyi Hong, Yiran Wang +3
We study the problem of novel view synthesis of objects from a single image. Existing methods have demonstrated the potential in single-view view synthesis. However, they still fai…
CRCNet: Few-shot Segmentation with Cross-Reference and Region-Global Conditional Networks
Weide Liu, Chi Zhang, Guosheng Lin +1
Few-shot segmentation aims to learn a segmentation model that can be generalized to novel classes with only a few training images. In this paper, we propose a Cross-Reference and L…
Collaborative Propagation on Multiple Instance Graphs for 3D Instance Segmentation with Single-point Supervision
Shichao Dong, Ruibo Li, Jiacheng Wei +2
Instance segmentation on 3D point clouds has been attracting increasing attention due to its wide applications, especially in scene understanding areas. However, most existing meth…
Paired Cross-Modal Data Augmentation for Fine-Grained Image-to-Text Retrieval
Hao Wang, Guosheng Lin, Steven C. H. Hoi +1
This paper investigates an open research problem of generating text-image pairs to improve the training of fine-grained image-to-text cross-modal retrieval task, and proposes a nov…