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papers

Publications (65)

cs.LG2017

Label Distribution Learning Forests

Wei Shen, Kai Zhao, Yilu Guo +1

cs.CV2014

Parsing Semantic Parts of Cars Using Graphical Models and Segment Appearance Consistency

Wenhao Lu, Xiaochen Lian, Alan Yuille

cs.CV2017

Recurrent Multimodal Interaction for Referring Image Segmentation

Chenxi Liu, Zhe Lin, Xiaohui Shen +3

cs.CV2015

Learning like a Child: Fast Novel Visual Concept Learning from Sentence Descriptions of Images

Junhua Mao, Wei Xu, Yi Yang +3

cs.CV2017

Deep Regression Forests for Age Estimation

Wei Shen, Yilu Guo, Yan Wang +3

cs.CV2015

Parsing Occluded People by Flexible Compositions

Xianjie Chen, Alan Yuille

cs.CV2018

Robust Face Detection via Learning Small Faces on Hard Images

Zhishuai Zhang, Wei Shen, Siyuan Qiao +3

cs.CV2019

Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation

Chenxi Liu, Liang-Chieh Chen, Florian Schroff +4

cs.CV2016

InterActive: Inter-Layer Activeness Propagation

Lingxi Xie, Liang Zheng, Jingdong Wang +2

cs.CV2017

SORT: Second-Order Response Transform for Visual Recognition

Yan Wang, Lingxi Xie, Chenxi Liu +3

cs.CV2013

A Meta-Theory of Boundary Detection Benchmarks

Xiaodi Hou, Alan Yuille, Christof Koch

cs.CV2018

OriNet: A Fully Convolutional Network for 3D Human Pose Estimation

Chenxu Luo, Xiao Chu, Alan Yuille

cs.CV2014

Human-Machine CRFs for Identifying Bottlenecks in Holistic Scene Understanding

Roozbeh Mottaghi, Sanja Fidler, Alan Yuille +2

cs.CV2015

Multi-Instance Visual-Semantic Embedding

Zhou Ren, Hailin Jin, Zhe Lin +2

cs.LG2012

The DLR Hierarchy of Approximate Inference

Michal Rosen-Zvi, Michael I. Jordan, Alan Yuille

cs.CV2016

DOC: Deep OCclusion Estimation From a Single Image

Peng Wang, Alan Yuille

cs.CV2017

ScaleNet: Guiding Object Proposal Generation in Supermarkets and Beyond

Siyuan Qiao, Wei Shen, Weichao Qiu +2

cs.CV2016

UnrealCV: Connecting Computer Vision to Unreal Engine

Weichao Qiu, Alan Yuille

cs.CV2018

Adversarial Attacks and Defences Competition

Alexey Kurakin, Ian Goodfellow, Samy Bengio +20

cs.CV2018

Deep Co-Training for Semi-Supervised Image Recognition

Siyuan Qiao, Wei Shen, Zhishuai Zhang +2

cs.CV2018

Neural Rejuvenation: Improving Deep Network Training by Enhancing Computational Resource Utilization

Siyuan Qiao, Zhe Lin, Jianming Zhang +1

cs.CV2017

Few-Shot Image Recognition by Predicting Parameters from Activations

Siyuan Qiao, Chenxi Liu, Wei Shen +1

cs.CV2014

Detect What You Can: Detecting and Representing Objects using Holistic Models and Body Parts

Xianjie Chen, Roozbeh Mottaghi, Xiaobai Liu +3

cs.CV2017

Multi-stage Multi-recursive-input Fully Convolutional Networks for Neuronal Boundary Detection

Wei Shen, Bin Wang, Yuan Jiang +2

cs.CV2019

Every Pixel Counts ++: Joint Learning of Geometry and Motion with 3D Holistic Understanding

Chenxu Luo, Zhenheng Yang, Peng Wang +4

cs.CV2016

Generation and Comprehension of Unambiguous Object Descriptions

Junhua Mao, Jonathan Huang, Alexander Toshev +3

cs.LG2016

Training and Evaluating Multimodal Word Embeddings with Large-scale Web Annotated Images

Junhua Mao, Jiajing Xu, Yushi Jing +1

cs.CV2015

Fidelity-Naturalness Evaluation of Single Image Super Resolution

Xuan Dong, Yu Zhu, Weixin Li +3

cs.CV2017

Adversarial Examples for Semantic Segmentation and Object Detection

Cihang Xie, Jianyu Wang, Zhishuai Zhang +3

cs.CV2011

Efficient variational inference in large-scale Bayesian compressed sensing

George Papandreou, Alan Yuille

cs.CV2016

Attention Correctness in Neural Image Captioning

Chenxi Liu, Junhua Mao, Fei Sha +1

cs.CV2019

CLEVR-Ref+: Diagnosing Visual Reasoning with Referring Expressions

Runtao Liu, Chenxi Liu, Yutong Bai +1

cs.CV2017

Joint Multi-Person Pose Estimation and Semantic Part Segmentation

Fangting Xia, Peng Wang, Xianjie Chen +1

cs.CV2016

Symmetric Non-Rigid Structure from Motion for Category-Specific Object Structure Estimation

Yuan Gao, Alan Yuille

cs.CV2016

Geometric Neural Phrase Pooling: Modeling the Spatial Co-occurrence of Neurons

Lingxi Xie, Qi Tian, John Flynn +2

cs.CV2018

PCL: Proposal Cluster Learning for Weakly Supervised Object Detection

Peng Tang, Xinggang Wang, Song Bai +4

cs.CV2018

Few-shot Learning by Exploiting Visual Concepts within CNNs

Boyang Deng, Qing Liu, Siyuan Qiao +1

cs.CV2019

Feature Denoising for Improving Adversarial Robustness

Cihang Xie, Yuxin Wu, Laurens van der Maaten +2

cs.CV2015

Joint Object and Part Segmentation using Deep Learned Potentials

Peng Wang, Xiaohui Shen, Zhe Lin +3

cs.CV2017

Detecting Semantic Parts on Partially Occluded Objects

Jianyu Wang, Cihang Xie, Zhishuai Zhang +3

cs.LG2016

Unsupervised learning of object semantic parts from internal states of CNNs by population encoding

Jianyu Wang, Zhishuai Zhang, Cihang Xie +2

eess.IV2019

V-NAS: Neural Architecture Search for Volumetric Medical Image Segmentation

Zhuotun Zhu, Chenxi Liu, Dong Yang +2

The paper introduces V‑NAS, a differentiable neural architecture search method that automatically selects 2D, 3D, or pseudo‑3D convolutions for each layer to improve volumetric med…

#neural architecture search#volumetric segmentation#3d convolution#medical imaging
cs.CV2019

ELASTIC: Improving CNNs with Dynamic Scaling Policies

Huiyu Wang, Aniruddha Kembhavi, Ali Farhadi +2

cs.CV2017

Genetic CNN

Lingxi Xie, Alan Yuille

cs.CV2014

Articulated Pose Estimation by a Graphical Model with Image Dependent Pairwise Relations

Xianjie Chen, Alan Yuille

cs.CV2017

DeepSkeleton: Learning Multi-task Scale-associated Deep Side Outputs for Object Skeleton Extraction in Natural Images

Wei Shen, Kai Zhao, Yuan Jiang +3

cs.CV2018

UnrealStereo: Controlling Hazardous Factors to Analyze Stereo Vision

Yi Zhang, Weichao Qiu, Qi Chen +2

cs.CV2017

Visual Concepts and Compositional Voting

Jianyu Wang, Zhishuai Zhang, Cihang Xie +5

cs.CV2018

Progressive Neural Architecture Search

Chenxi Liu, Barret Zoph, Maxim Neumann +7

cs.CV2015

Deep Captioning with Multimodal Recurrent Neural Networks (m-RNN)

Junhua Mao, Wei Xu, Yi Yang +3

cs.CV2017

Transfer of View-manifold Learning to Similarity Perception of Novel Objects

Xingyu Lin, Hao Wang, Zhihao Li +3

cs.CV2016

Ground-truth dataset and baseline evaluations for image base-detail separation algorithms

Xuan Dong, Boyan Bonev, Weixin Li +3

cs.CV2019

Structured Prediction using cGANs with Fusion Discriminator

Faisal Mahmood, Wenhao Xu, Nicholas J. Durr +2

cs.CV2018

Mitigating Adversarial Effects Through Randomization

Cihang Xie, Jianyu Wang, Zhishuai Zhang +2

cs.CV2015

Pose-Guided Human Parsing with Deep Learned Features

Fangting Xia, Jun Zhu, Peng Wang +1

cs.CV2019

Rethinking Monocular Depth Estimation with Adversarial Training

Richard Chen, Faisal Mahmood, Alan Yuille +1

cs.CV2019

Improving Transferability of Adversarial Examples with Input Diversity

Cihang Xie, Zhishuai Zhang, Yuyin Zhou +4

cs.CV2017

MAT: A Multimodal Attentive Translator for Image Captioning

Chang Liu, Fuchun Sun, Changhu Wang +2

cs.CV2017

Deep Collaborative Learning for Visual Recognition

Yan Wang, Lingxi Xie, Ya Zhang +2

cs.CV2014

Semantic Part Segmentation using Compositional Model combining Shape and Appearance

Jianyu Wang, Alan Yuille

cs.CV2019

Robustness of Object Recognition under Extreme Occlusion in Humans and Computational Models

Hongru Zhu, Peng Tang, Jeongho Park +2

cs.CV2018

Gradually Updated Neural Networks for Large-Scale Image Recognition

Siyuan Qiao, Zhishuai Zhang, Wei Shen +2

cs.CV2018

SampleAhead: Online Classifier-Sampler Communication for Learning from Synthesized Data

Qi Chen, Weichao Qiu, Yi Zhang +2

cs.CV2018

Knowledge Distillation in Generations: More Tolerant Teachers Educate Better Students

Chenglin Yang, Lingxi Xie, Siyuan Qiao +1

cs.CL2018

Scene Graph Parsing as Dependency Parsing

Yu-Siang Wang, Chenxi Liu, Xiaohui Zeng +1