activity
20172022
most citedLearning Open Set Network with Discriminative Reciprocal Points

241 citations · 617 across the 29 of their papers we have counts for

collaborators

50 papers

cs.CV20225 cited

Event-based Monocular Dense Depth Estimation with Recurrent Transformers

Xu Liu, Jianing Li, Xiaopeng Fan +1

Event cameras, offering high temporal resolutions and high dynamic ranges, have brought a new perspective to address common challenges (e.g., motion blur and low light) in monocula…

cs.CV20228 cited

HARDVS: Revisiting Human Activity Recognition with Dynamic Vision Sensors

Xiao Wang, Zongzhen Wu, Bo Jiang +5

The main streams of human activity recognition (HAR) algorithms are developed based on RGB cameras which are suffered from illumination, fast motion, privacy-preserving, and large…

cs.CV20227 cited

Fine-Grained Object Classification via Self-Supervised Pose Alignment

Xuhui Yang, Yaowei Wang, Ke Chen +2

Semantic patterns of fine-grained objects are determined by subtle appearance difference of local parts, which thus inspires a number of part-based methods. However, due to uncontr…

cs.CV2021

Heterogeneous Relational Complement for Vehicle Re-identification

Jiajian Zhao, Yifan Zhao, Jia Li +2

The crucial problem in vehicle re-identification is to find the same vehicle identity when reviewing this object from cross-view cameras, which sets a higher demand for learning vi…

cs.CV20211 cited

Amplitude-Phase Recombination: Rethinking Robustness of Convolutional Neural Networks in Frequency Domain

Guangyao Chen, Peixi Peng, Li Ma +3

Recently, the generalization behavior of Convolutional Neural Networks (CNN) is gradually transparent through explanation techniques with the frequency components decomposition. Ho…

cs.NE202149 cited

Pruning of Deep Spiking Neural Networks through Gradient Rewiring

Yanqi Chen, Zhaofei Yu, Wei Fang +2

Spiking Neural Networks (SNNs) have been attached great importance due to their biological plausibility and high energy-efficiency on neuromorphic chips. As these chips are usually…