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20152023
most citedSpatial-Temporal Transformer Networks for Traffic Flow Forecasting

269 citations · 1.8k across the 57 of their papers we have counts for

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Showing 2019Show all

6 papers · 1 filter

eess.IV2019★ 64 cited

Partition-Aware Adaptive Switching Neural Networks for Post-Processing in HEVC

Weiyao Lin, Xiaoyi He, Xintong Han +5

This paper addresses neural network based post-processing for the state-of-the-art video coding standard, High Efficiency Video Coding (HEVC). We first propose a partition-aware Co…

cs.CV2019★ 13 cited

Trained Rank Pruning for Efficient Deep Neural Networks

Yuhui Xu, Yuxi Li, Shuai Zhang +7

To accelerate DNNs inference, low-rank approximation has been widely adopted because of its solid theoretical rationale and efficient implementations. Several previous works attemp…

cs.CV2019★ 98 cited

ATRW: A Benchmark for Amur Tiger Re-identification in the Wild

Shuyuan Li, Jianguo Li, Hanlin Tang +2

Monitoring the population and movements of endangered species is an important task to wildlife conversation. Traditional tagging methods do not scale to large populations, while ap…

cs.CV2019★ 53 cited

Group Re-Identification with Multi-grained Matching and Integration

Weiyao Lin, Yuxi Li, Hao Xiao +5

The task of re-identifying groups of people underdifferent camera views is an important yet less-studied problem.Group re-identification (Re-ID) is a very challenging task sinceit…

cs.MM2019

A multimodal lossless coding method for skeletons in videos

Mingzhou Liu, Xiaoyi He, Weiyao Lin +4

Nowadays, skeleton information in videos plays an important role in human-centric video analysis but effective coding such massive skeleton information has never been addressed in…

cs.CV2019★ 135 cited

Towards Accurate One-Stage Object Detection with AP-Loss

Kean Chen, Jianguo Li, Weiyao Lin +6

One-stage object detectors are trained by optimizing classification-loss and localization-loss simultaneously, with the former suffering much from extreme foreground-background cla…