activity
20172026
most citedOne-Shot Object Detection with Co-Attention and Co-Excitation

116 citations · 384 across the 39 of their papers we have counts for

collaborators
Showing 2019Show all

9 papers · 1 filter

cs.CV2019★ 4 cited

Silhouette-Net: 3D Hand Pose Estimation from Silhouettes

Kuo-Wei Lee, Shih-Hung Liu, Hwann-Tzong Chen +1

3D hand pose estimation has received a lot of attention for its wide range of applications and has made great progress owing to the development of deep learning. Existing approache…

cs.CV2019★ 116 cited

One-Shot Object Detection with Co-Attention and Co-Excitation

Ting-I Hsieh, Yi-Chen Lo, Hwann-Tzong Chen +1

This paper aims to tackle the challenging problem of one-shot object detection. Given a query image patch whose class label is not included in the training data, the goal of the ta…

cs.CV2019★ 16 cited

Flat2Layout: Flat Representation for Estimating Layout of General Room Types

Chi-Wei Hsiao, Cheng Sun, Min Sun +1

This paper proposes a new approach, Flat2Layout, for estimating general indoor room layout from a single-view RGB image whereas existing methods can only produce layout topologies…

cs.LG2019

Instance-Level Meta Normalization

Songhao Jia, Ding-Jie Chen, Hwann-Tzong Chen

This paper presents a normalization mechanism called Instance-Level Meta Normalization (ILM~Norm) to address a learning-to-normalize problem. ILM~Norm learns to predict the normali…

cs.CV2019

C2S2: Cost-aware Channel Sparse Selection for Progressive Network Pruning

Chih-Yao Chiu, Hwann-Tzong Chen, Tyng-Luh Liu

This paper describes a channel-selection approach for simplifying deep neural networks. Specifically, we propose a new type of generic network layer, called pruning layer, to seaml…

cs.CV2019

Point-to-Point Video Generation

Tsun-Hsuan Wang, Yen-Chi Cheng, Chieh Hubert Lin +2

While image manipulation achieves tremendous breakthroughs (e.g., generating realistic faces) in recent years, video generation is much less explored and harder to control, which l…

cs.LG2019★ 10 cited

COCO-GAN: Generation by Parts via Conditional Coordinating

Chieh Hubert Lin, Chia-Che Chang, Yu-Sheng Chen +3

Humans can only interact with part of the surrounding environment due to biological restrictions. Therefore, we learn to reason the spatial relationships across a series of observa…

cs.CV2019★ 63 cited

Bridging the Gap Between Computational Photography and Visual Recognition

Rosaura G. VidalMata, Sreya Banerjee, Brandon RichardWebster +21

What is the current state-of-the-art for image restoration and enhancement applied to degraded images acquired under less than ideal circumstances? Can the application of such algo…

cs.CV2019★ 17 cited

HorizonNet: Learning Room Layout with 1D Representation and Pano Stretch Data Augmentation

Cheng Sun, Chi-Wei Hsiao, Min Sun +1

We present a new approach to the problem of estimating the 3D room layout from a single panoramic image. We represent room layout as three 1D vectors that encode, at each image col…