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20082023
most citedCompressing Deep Convolutional Networks using Vector Quantization

1k citations · 1.1k across the 9 of their papers we have counts for

collaborators

9 papers

cs.IT2023

Performance Analysis for Polar Codes under Successive Cancellation List Decoding with Fixed List Size

Jinnan Piao, Dong Li, Xueting Yu +4

In this paper, we first indicate that the block error event of polar codes under successive cancellation list (SCL) decoding is composed of path loss (PL) error event and path sele…

cs.CV2021★ 12 cited

Track to Detect and Segment: An Online Multi-Object Tracker

Jialian Wu, Jiale Cao, Liangchen Song +3

Most online multi-object trackers perform object detection stand-alone in a neural net without any input from tracking. In this paper, we present a new online joint detection and t…

cs.CV2019★ 30 cited

SSAP: Single-Shot Instance Segmentation With Affinity Pyramid

Naiyu Gao, Yanhu Shan, Yupei Wang +4

Recently, proposal-free instance segmentation has received increasing attention due to its concise and efficient pipeline. Generally, proposal-free methods generate instance-agnost…

cs.CV2019★ 8 cited

Resolution-invariant Person Re-Identification

Shunan Mao, Shiliang Zhang, Ming Yang

Exploiting resolution invariant representation is critical for person Re-Identification (ReID) in real applications, where the resolutions of captured person images may vary dramat…

cs.CV2019★ 38 cited

Bi-Directional Cascade Network for Perceptual Edge Detection

Jianzhong He, Shiliang Zhang, Ming Yang +2

Exploiting multi-scale representations is critical to improve edge detection for objects at different scales. To extract edges at dramatically different scales, we propose a Bi-Dir…

cs.CV2014★ 1k cited

Compressing Deep Convolutional Networks using Vector Quantization

Yunchao Gong, Liu Liu, Ming Yang +1

Deep convolutional neural networks (CNN) has become the most promising method for object recognition, repeatedly demonstrating record breaking results for image classification and…