290 citations · 1.1k across the 39 of their papers we have counts for
12 papers · 1 filter
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…
Single Image Dehazing with An Independent Detail-Recovery Network
Yan Li, De Cheng, Jiande Sun +3
Single image dehazing is a prerequisite which affects the performance of many computer vision tasks and has attracted increasing attention in recent years. However, most existing d…
A Structure-Aware Relation Network for Thoracic Diseases Detection and Segmentation
Jie Lian, Jingyu Liu, Shu Zhang +4
Instance level detection and segmentation of thoracic diseases or abnormalities are crucial for automatic diagnosis in chest X-ray images. Leveraging on constant structure and dise…
Weakly Supervised Object Localization and Detection: A Survey
Dingwen Zhang, Junwei Han, Gong Cheng +1
As an emerging and challenging problem in the computer vision community, weakly supervised object localization and detection plays an important role for developing new generation c…
Few-Cost Salient Object Detection with Adversarial-Paced Learning
Dingwen Zhang, Haibin Tian, Jungong Han
Detecting and segmenting salient objects from given image scenes has received great attention in recent years. A fundamental challenge in training the existing deep saliency detect…
Onfocus Detection: Identifying Individual-Camera Eye Contact from Unconstrained Images
Dingwen Zhang, Bo Wang, Gerong Wang +4
Onfocus detection aims at identifying whether the focus of the individual captured by a camera is on the camera or not. Based on the behavioral research, the focus of an individual…
Densely Nested Top-Down Flows for Salient Object Detection
Chaowei Fang, Haibin Tian, Dingwen Zhang +3
With the goal of identifying pixel-wise salient object regions from each input image, salient object detection (SOD) has been receiving great attention in recent years. One kind of…
Salient Object Detection via Integrity Learning
Mingchen Zhuge, Deng-Ping Fan, Nian Liu +3
Although current salient object detection (SOD) works have achieved significant progress, they are limited when it comes to the integrity of the predicted salient regions. We defin…