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20162025
most citedA Unified End-to-End Framework for Efficient Deep Image Compression

64 citations · 272 across the 27 of their papers we have counts for

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Showing 2020Show all

7 papers · 1 filter

cs.CV2020★ 2 cited

Inception Convolution with Efficient Dilation Search

Jie Liu, Chuming Li, Feng Liang +5

As a variant of standard convolution, a dilated convolution can control effective receptive fields and handle large scale variance of objects without introducing additional computa…

cs.CV2020★ 14 cited

Human-centric Spatio-Temporal Video Grounding With Visual Transformers

Zongheng Tang, Yue Liao, Si Liu +5

In this work, we introduce a novel task - Humancentric Spatio-Temporal Video Grounding (HC-STVG). Unlike the existing referring expression tasks in images or videos, by focusing on…

cs.CL2020★ 6 cited

Improving AMR Parsing with Sequence-to-Sequence Pre-training

Dongqin Xu, Junhui Li, Muhua Zhu +2

In the literature, the research on abstract meaning representation (AMR) parsing is much restricted by the size of human-curated dataset which is critical to build an AMR parser wi…

cs.CV2020★ 5 cited

Improving Deep Video Compression by Resolution-adaptive Flow Coding

Zhihao Hu, Zhenghao Chen, Dong Xu +3

In the learning based video compression approaches, it is an essential issue to compress pixel-level optical flow maps by developing new motion vector (MV) encoders. In this work,…

eess.IV2020★ 9 cited

Content Adaptive and Error Propagation Aware Deep Video Compression

Guo Lu, Chunlei Cai, Xiaoyun Zhang +4

Recently, learning based video compression methods attract increasing attention. However, the previous works suffer from error propagation due to the accumulation of reconstructed…

cs.CV2020★ 1 cited

Channel Pruning Guided by Classification Loss and Feature Importance

Jinyang Guo, Wanli Ouyang, Dong Xu

In this work, we propose a new layer-by-layer channel pruning method called Channel Pruning guided by classification Loss and feature Importance (CPLI). In contrast to the existing…

eess.IV2020★ 64 cited

A Unified End-to-End Framework for Efficient Deep Image Compression

Jiaheng Liu, Guo Lu, Zhihao Hu +1

Image compression is a widely used technique to reduce the spatial redundancy in images. Recently, learning based image compression has achieved significant progress by using the p…