290 citations · 1.1k across the 39 of their papers we have counts for
39 papers
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…
Continual All-in-One Adverse Weather Removal with Knowledge Replay on a Unified Network Structure
De Cheng, Yanling Ji, Dong Gong +4
In real-world applications, image degeneration caused by adverse weather is always complex and changes with different weather conditions from days and seasons. Systems in real-worl…
VSCode: General Visual Salient and Camouflaged Object Detection with 2D Prompt Learning
Ziyang Luo, Nian Liu, Wangbo Zhao +5
Salient object detection (SOD) and camouflaged object detection (COD) are related yet distinct binary mapping tasks. These tasks involve multiple modalities, sharing commonalities…
GP-NeRF: Generalized Perception NeRF for Context-Aware 3D Scene Understanding
Hao Li, Dingwen Zhang, Yalun Dai +5
Applying NeRF to downstream perception tasks for scene understanding and representation is becoming increasingly popular. Most existing methods treat semantic prediction as an addi…
SegGPT Meets Co-Saliency Scene
Yi Liu, Shoukun Xu, Dingwen Zhang +1
Co-salient object detection targets at detecting co-existed salient objects among a group of images. Recently, a generalist model for segmenting everything in context, called SegGP…
Calibrating Undisciplined Over-Smoothing in Transformer for Weakly Supervised Semantic Segmentation
Lechao Cheng, Zerun Liu, Jingxuan He +3
Weakly supervised semantic segmentation (WSSS) has recently attracted considerable attention because it requires fewer annotations than fully supervised approaches, making it espec…
Revisiting Long-tailed Image Classification: Survey and Benchmarks with New Evaluation Metrics
Chaowei Fang, Dingwen Zhang, Wen Zheng +4
Recently, long-tailed image classification harvests lots of research attention, since the data distribution is long-tailed in many real-world situations. Piles of algorithms are de…
Boosting Low-Data Instance Segmentation by Unsupervised Pre-training with Saliency Prompt
Hao Li, Dingwen Zhang, Nian Liu +5
Recently, inspired by DETR variants, query-based end-to-end instance segmentation (QEIS) methods have outperformed CNN-based models on large-scale datasets. Yet they would lose eff…
Compound Batch Normalization for Long-tailed Image Classification
Lechao Cheng, Chaowei Fang, Dingwen Zhang +2
Significant progress has been made in learning image classification neural networks under long-tail data distribution using robust training algorithms such as data re-sampling, re-…
Combating Noisy Labels in Long-Tailed Image Classification
Chaowei Fang, Lechao Cheng, Huiyan Qi +1
Most existing methods that cope with noisy labels usually assume that the class distributions are well balanced, which has insufficient capacity to deal with the practical scenario…
Deep 3D Vessel Segmentation based on Cross Transformer Network
Chengwei Pan, Baolian Qi, Gangming Zhao +4
The coronary microvascular disease poses a great threat to human health. Computer-aided analysis/diagnosis systems help physicians intervene in the disease at early stages, where 3…
Computer-aided Tuberculosis Diagnosis with Attribute Reasoning Assistance
Chengwei Pan, Gangming Zhao, Junjie Fang +6
Although deep learning algorithms have been intensively developed for computer-aided tuberculosis diagnosis (CTD), they mainly depend on carefully annotated datasets, leading to mu…
Structured Attention Composition for Temporal Action Localization
Le Yang, Junwei Han, Tao Zhao +2
Temporal action localization aims at localizing action instances from untrimmed videos. Existing works have designed various effective modules to precisely localize action instance…
Robust Single Image Dehazing Based on Consistent and Contrast-Assisted Reconstruction
De Cheng, Yan Li, Dingwen Zhang +3
Single image dehazing as a fundamental low-level vision task, is essential for the development of robust intelligent surveillance system. In this paper, we make an early effort to…
Hybrid Routing Transformer for Zero-Shot Learning
De Cheng, Gerong Wang, Bo Wang +3
Zero-shot learning (ZSL) aims to learn models that can recognize unseen image semantics based on the training of data with seen semantics. Recent studies either leverage the global…
Colar: Effective and Efficient Online Action Detection by Consulting Exemplars
Le Yang, Junwei Han, Dingwen Zhang
Online action detection has attracted increasing research interests in recent years. Current works model historical dependencies and anticipate the future to perceive the action ev…
Learning Self-Supervised Low-Rank Network for Single-Stage Weakly and Semi-Supervised Semantic Segmentation
Junwen Pan, Pengfei Zhu, Kaihua Zhang +5
Semantic segmentation with limited annotations, such as weakly supervised semantic segmentation (WSSS) and semi-supervised semantic segmentation (SSSS), is a challenging task that…
Cross-Modality Deep Feature Learning for Brain Tumor Segmentation
Dingwen Zhang, Guohai Huang, Qiang Zhang +3
Recent advances in machine learning and prevalence of digital medical images have opened up an opportunity to address the challenging brain tumor segmentation (BTS) task by using d…
Robust Region Feature Synthesizer for Zero-Shot Object Detection
Peiliang Huang, Junwei Han, De Cheng +1
Zero-shot object detection aims at incorporating class semantic vectors to realize the detection of (both seen and) unseen classes given an unconstrained test image. In this study,…
Incremental Cross-view Mutual Distillation for Self-supervised Medical CT Synthesis
Chaowei Fang, Liang Wang, Dingwen Zhang +3
Due to the constraints of the imaging device and high cost in operation time, computer tomography (CT) scans are usually acquired with low intra-slice resolution. Improving the int…
Pixel Distillation: A New Knowledge Distillation Scheme for Low-Resolution Image Recognition
Guangyu Guo, Dingwen Zhang, Longfei Han +3
Previous knowledge distillation (KD) methods mostly focus on compressing network architectures, which is not thorough enough in deployment as some costs like transmission bandwidth…
Weakly Supervised Semantic Segmentation via Alternative Self-Dual Teaching
Dingwen Zhang, Wenyuan Zeng, Guangyu Guo +4
Current weakly supervised semantic segmentation (WSSS) frameworks usually contain the separated mask-refinement model and the main semantic region mining model. These approaches wo…
Background-Click Supervision for Temporal Action Localization
Le Yang, Junwei Han, Tao Zhao +3
Weakly supervised temporal action localization aims at learning the instance-level action pattern from the video-level labels, where a significant challenge is action-context confu…
Light Field Saliency Detection with Dual Local Graph Learning andReciprocative Guidance
Nian Liu, Wangbo Zhao, Dingwen Zhang +2
The application of light field data in salient object de-tection is becoming increasingly popular recently. The diffi-culty lies in how to effectively fuse the features within the…