38 citations · 118 across the 12 of their papers we have counts for
11 papers · 1 filter
CEDNet: A Cascade Encoder-Decoder Network for Dense Prediction
Gang Zhang, Ziyi Li, Chufeng Tang +2
Multi-scale features are essential for dense prediction tasks, such as object detection, instance segmentation, and semantic segmentation. The prevailing methods usually utilize a…
Infrared Invisible Clothing:Hiding from Infrared Detectors at Multiple Angles in Real World
Xiaopei Zhu, Zhanhao Hu, Siyuan Huang +2
Thermal infrared imaging is widely used in body temperature measurement, security monitoring, and so on, but its safety research attracted attention only in recent years. We propos…
Look Closer to Segment Better: Boundary Patch Refinement for Instance Segmentation
Chufeng Tang, Hang Chen, Xiao Li +3
Tremendous efforts have been made on instance segmentation but the mask quality is still not satisfactory. The boundaries of predicted instance masks are usually imprecise due to t…
The MSR-Video to Text Dataset with Clean Annotations
Haoran Chen, Jianmin Li, Simone Frintrop +1
Video captioning automatically generates short descriptions of the video content, usually in form of a single sentence. Many methods have been proposed for solving this task. A lar…
Fooling thermal infrared pedestrian detectors in real world using small bulbs
Xiaopei Zhu, Xiao Li, Jianmin Li +2
Thermal infrared detection systems play an important role in many areas such as night security, autonomous driving, and body temperature detection. They have the unique advantages…
A Semantics-Assisted Video Captioning Model Trained with Scheduled Sampling
Haoran Chen, Ke Lin, Alexander Maye +2
Given the features of a video, recurrent neural networks can be used to automatically generate a caption for the video. Existing methods for video captioning have at least three li…
Pairwise Teacher-Student Network for Semi-Supervised Hashing
Shifeng Zhang, Jianmin Li, Bo Zhang
Hashing method maps similar high-dimensional data to binary hashcodes with smaller hamming distance, and it has received broad attention due to its low storage cost and fast retrie…
Factorized Distillation: Training Holistic Person Re-identification Model by Distilling an Ensemble of Partial ReID Models
Pengyuan Ren, Jianmin Li
Person re-identification (ReID) is aimed at identifying the same person across videos captured from different cameras. In the view that networks extracting global features using or…
Semantic Cluster Unary Loss for Efficient Deep Hashing
Shifeng Zhang, Jianmin Li, Bo Zhang
Hashing method maps similar data to binary hashcodes with smaller hamming distance, which has received a broad attention due to its low storage cost and fast retrieval speed. With…
Scalable Discrete Supervised Hash Learning with Asymmetric Matrix Factorization
Shifeng Zhang, Jianmin Li, Jinma Guo +1
Hashing method maps similar data to binary hashcodes with smaller hamming distance, and it has received a broad attention due to its low storage cost and fast retrieval speed. Howe…
CNN Based Hashing for Image Retrieval
Jinma Guo, Jianmin Li
Along with data on the web increasing dramatically, hashing is becoming more and more popular as a method of approximate nearest neighbor search. Previous supervised hashing method…