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20152025
most citedNetwork Trimming: A Data-Driven Neuron Pruning Approach towards Efficient Deep Architectures

742 citations · 2.5k across the 92 of their papers we have counts for

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Showing 2019Show all

12 papers · 1 filter

cs.CV2019★ 8 cited

Pyramid Multi-view Stereo Net with Self-adaptive View Aggregation

Hongwei Yi, Zizhuang Wei, Mingyu Ding +4

n this paper, we propose an effective and efficient pyramid multi-view stereo (MVS) net with self-adaptive view aggregation for accurate and complete dense point cloud reconstructi…

cs.CV2019★ 6 cited

Reflective Decoding Network for Image Captioning

Lei Ke, Wenjie Pei, Ruiyu Li +2

State-of-the-art image captioning methods mostly focus on improving visual features, less attention has been paid to utilizing the inherent properties of language to boost captioni…

cs.CV2019★ 2 cited

Non-local Recurrent Neural Memory for Supervised Sequence Modeling

Canmiao Fu, Wenjie Pei, Qiong Cao +4

Typical methods for supervised sequence modeling are built upon the recurrent neural networks to capture temporal dependencies. One potential limitation of these methods is that th…

cs.CV2019★ 8 cited

Cross-Domain Adaptation for Animal Pose Estimation

Jinkun Cao, Hongyang Tang, Hao-Shu Fang +3

In this paper, we are interested in pose estimation of animals. Animals usually exhibit a wide range of variations on poses and there is no available animal pose dataset for traini…

cs.CV2019★ 3 cited

DAWN: Dual Augmented Memory Network for Unsupervised Video Object Tracking

Zhenmei Shi, Haoyang Fang, Yu-Wing Tai +1

Psychological studies have found that human visual tracking system involves learning, memory, and planning. Despite recent successes, not many works have focused on memory and plan…

cs.CV2019★ 49 cited

SF-Net: Structured Feature Network for Continuous Sign Language Recognition

Zhaoyang Yang, Zhenmei Shi, Xiaoyong Shen +1

Continuous sign language recognition (SLR) aims to translate a signing sequence into a sentence. It is very challenging as sign language is rich in vocabulary, while many among the…

cs.CV2019★ 37 cited

Few-Shot Object Detection with Attention-RPN and Multi-Relation Detector

Qi Fan, Wei Zhuo, Chi-Keung Tang +1

Conventional methods for object detection typically require a substantial amount of training data and preparing such high-quality training data is very labor-intensive. In this pap…

cs.CV2019★ 9 cited

StableNet: Semi-Online, Multi-Scale Deep Video Stabilization

Chia-Hung Huang, Hang Yin, Yu-Wing Tai +1

Video stabilization algorithms are of greater importance nowadays with the prevalence of hand-held devices which unavoidably produce videos with undesirable shaky motions. In this…

cs.CV2019★ 29 cited

Landmark Assisted CycleGAN for Cartoon Face Generation

Ruizheng Wu, Xiaodong Gu, Xin Tao +3

In this paper, we are interested in generating an cartoon face of a person by using unpaired training data between real faces and cartoon ones. A major challenge of this task is th…

cs.CV2019★ 255 cited

FSS-1000: A 1000-Class Dataset for Few-Shot Segmentation

Xiang Li, Tianhan Wei, Yau Pun Chen +2

Over the past few years, we have witnessed the success of deep learning in image recognition thanks to the availability of large-scale human-annotated datasets such as PASCAL VOC,…

cs.CV2019★ 16 cited

Memory-Attended Recurrent Network for Video Captioning

Wenjie Pei, Jiyuan Zhang, Xiangrong Wang +3

Typical techniques for video captioning follow the encoder-decoder framework, which can only focus on one source video being processed. A potential disadvantage of such design is t…

cs.CV2019★ 9 cited

LADN: Local Adversarial Disentangling Network for Facial Makeup and De-Makeup

Qiao Gu, Guanzhi Wang, Mang Tik Chiu +2

We propose a local adversarial disentangling network (LADN) for facial makeup and de-makeup. Central to our method are multiple and overlapping local adversarial discriminators in…