46 citations · 53 across the 5 of their papers we have counts for
5 papers
A Targeted Acceleration and Compression Framework for Low bit Neural Networks
Biao Qian, Yang Wang
1 bit deep neural networks (DNNs), of which both the activations and weights are binarized , are attracting more and more attention due to their high computational efficiency and l…
Convolutional Temporal Attention Model for Video-based Person Re-identification
Tanzila Rahman, Mrigank Rochan, Yang Wang
The goal of video-based person re-identification is to match two input videos, so that the distance of the two videos is small if two videos contain the same person. A common appro…
Cross-Modal Self-Attention Network for Referring Image Segmentation
Linwei Ye, Mrigank Rochan, Zhi Liu +1
We consider the problem of referring image segmentation. Given an input image and a natural language expression, the goal is to segment the object referred by the language expressi…
Cross-Entropy Adversarial View Adaptation for Person Re-identification
Lin Wu, Richang Hong, Yang Wang +1
Person re-identification (re-ID) is a task of matching pedestrians under disjoint camera views. To recognise paired snapshots, it has to cope with large cross-view variations cause…
Robust Hashing for Multi-View Data: Jointly Learning Low-Rank Kernelized Similarity Consensus and Hash Functions
Lin Wu, Yang Wang
Learning hash functions/codes for similarity search over multi-view data is attracting increasing attention, where similar hash codes are assigned to the data objects characterizin…