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20172023
most citedPC-DARTS: Partial Channel Connections for Memory-Efficient Architecture Search

420 citations · 1.2k across the 58 of their papers we have counts for

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Showing 2019Show all

11 papers · 1 filter

cs.CV2019★ 4 cited

FLAT: Few-Shot Learning via Autoencoding Transformation Regularizers

Haohang Xu, Hongkai Xiong, Guojun Qi

One of the most significant challenges facing a few-shot learning task is the generalizability of the (meta-)model from the base to the novel categories. Most of existing few-shot…

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★ 1 cited

AETv2: AutoEncoding Transformations for Self-Supervised Representation Learning by Minimizing Geodesic Distances in Lie Groups

Feng Lin, Haohang Xu, Houqiang Li +2

Self-supervised learning by predicting transformations has demonstrated outstanding performances in both unsupervised and (semi-)supervised tasks. Among the state-of-the-art method…

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★ 420 cited

PC-DARTS: Partial Channel Connections for Memory-Efficient Architecture Search

Yuhui Xu, Lingxi Xie, Xiaopeng Zhang +4

Differentiable architecture search (DARTS) provided a fast solution in finding effective network architectures, but suffered from large memory and computing overheads in jointly tr…

cs.LG2019★ 12 cited

iPool -- Information-based Pooling in Hierarchical Graph Neural Networks

Xing Gao, Hongkai Xiong, Pascal Frossard

With the advent of data science, the analysis of network or graph data has become a very timely research problem. A variety of recent works have been proposed to generalize neural…

cs.MM2019★ 2 cited

Probabilistic Tile Visibility-Based Server-Side Rate Adaptation for Adaptive 360-Degree Video Streaming

Junni Zou, Chenglin Li, Chengming Liu +3

In this paper, we study the server-side rate adaptation problem for streaming tile-based adaptive 360-degree videos to multiple users who are competing for transmission resources a…

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.IT2019★ 2 cited

Optimization-based Decentralized Coded Caching for Files and Caches with Arbitrary Size

Qi Wang, Ying Cui, Sian Jin +3

Existing decentralized coded caching solutions cannot guarantee small loads in the general scenario with arbitrary file sizes and cache sizes. In this paper, we propose an optimiza…

cs.MM2019★ 2 cited

Multiuser Video Streaming Rate Adaptation: A Physical Layer Resource-Aware Deep Reinforcement Learning Approach

Kexin Tang, Nuowen Kan, Junni Zou +3

We consider a multi-user video streaming service optimization problem over a time-varying and mutually interfering multi-cell wireless network. The key research challenge is to app…