Jiashi Feng

is this you? claim profile

∙ 1 follower
National University of Singapore ∙ berkeley college

Assistant Professor at National University of Singapore

Revisit Knowledge Distillation: a Teacher-free Framework

Knowledge Distillation (KD) aims to distill the knowledge of a cumbersom...
09/25/2019 ∙ by Li Yuan, et al. ∙ 29 ∙ share

read it
Few-shot Adaptive Faster R-CNN

To mitigate the detection performance drop caused by domain shift, we ai...
03/22/2019 ∙ by Tao Wang, et al. ∙ 24 ∙ share

read it
Single-Stage Multi-Person Pose Machines

Multi-person pose estimation is a challenging problem. Existing methods ...
08/24/2019 ∙ by Xuecheng Nie, et al. ∙ 23 ∙ share

read it
PSGAN: Pose-Robust Spatial-Aware GAN for Customizable Makeup Transfer

We propose a novel Pose-robust Spatial-aware GAN (PSGAN) for transferrin...
09/16/2019 ∙ by Wentao Jiang, et al. ∙ 23 ∙ share

read it
Classification Calibration for Long-tail Instance Segmentation

Remarkable progress has been made in object instance detection and segme...
10/29/2019 ∙ by Tao Wang, et al. ∙ 23 ∙ share

read it
Cycle-SUM: Cycle-consistent Adversarial LSTM Networks for Unsupervised Video Summarization

In this paper, we present a novel unsupervised video summarization model...
04/17/2019 ∙ by Li Yuan, et al. ∙ 17 ∙ share

read it
A Simple Pooling-Based Design for Real-Time Salient Object Detection

We solve the problem of salient object detection by investigating how to...
04/21/2019 ∙ by Jiang-Jiang Liu, et al. ∙ 14 ∙ share

read it
Hierarchic Neighbors Embedding

Manifold learning now plays a very important role in machine learning an...
09/16/2019 ∙ by Shenglan Liu, et al. ∙ 14 ∙ share

read it
PANet: Few-Shot Image Semantic Segmentation with Prototype Alignment

Despite the great progress made by deep CNNs in image semantic segmentat...
08/18/2019 ∙ by Kaixin Wang, et al. ∙ 13 ∙ share

read it
Unsupervised Image Noise Modeling with Self-Consistent GAN

Noise modeling lies in the heart of many image processing tasks. However...
06/13/2019 ∙ by Hanshu Yan, et al. ∙ 11 ∙ share

read it
TS2C: Tight Box Mining with Surrounding Segmentation Context for Weakly Supervised Object Detection

This work provides a simple approach to discover tight object bounding b...
07/13/2018 ∙ by Yunchao Wei, et al. ∙ 10 ∙ share

read it
Dynamic Kernel Distillation for Efficient Pose Estimation in Videos

Existing video-based human pose estimation methods extensively apply lar...
08/24/2019 ∙ by Xuecheng Nie, et al. ∙ 9 ∙ share

read it
Lift-the-Flap: Context Reasoning Using Object-Centered Graphs

Children benefit from lift-the-flap books by taking on an active role in...
02/01/2019 ∙ by Mengmi Zhang, et al. ∙ 8 ∙ share

read it
Joint 3D Face Reconstruction and Dense Face Alignment from A Single Image with 2D-Assisted Self-Supervised Learning

3D face reconstruction from a single 2D image is a challenging problem w...
03/22/2019 ∙ by Xiaoguang Tu, et al. ∙ 8 ∙ share

read it
Object Relation Detection Based on One-shot Learning

Detecting the relations among objects, such as "cat on sofa" and "person...
07/16/2018 ∙ by Li Zhou, et al. ∙ 6 ∙ share

read it
What am I searching for?

Can we infer intentions and goals from a person's actions? As an example...
07/31/2018 ∙ by Mengmi Zhang, et al. ∙ 4 ∙ share

read it
Similarity R-C3D for Few-shot Temporal Activity Detection

Many activities of interest are rare events, with only a few labeled exa...
12/25/2018 ∙ by Huijuan Xu, et al. ∙ 4 ∙ share

read it
Prototype Reminding for Continual Learning

Continual learning is a critical ability of continually acquiring and tr...
05/23/2019 ∙ by Mengmi Zhang, et al. ∙ 4 ∙ share

read it
PPDM: Parallel Point Detection and Matching for Real-time Human-Object Interaction Detection

We propose a single-stage Human-Object Interaction (HOI) detection metho...
12/30/2019 ∙ by Yue Liao, et al. ∙ 4 ∙ share

read it
Distilling Object Detectors with Fine-grained Feature Imitation

State-of-the-art CNN based recognition models are often computationally ...
06/09/2019 ∙ by Tao Wang, et al. ∙ 3 ∙ share

read it
Zigzag Learning for Weakly Supervised Object Detection

This paper addresses weakly supervised object detection with only image-...
04/25/2018 ∙ by Xiaopeng Zhang, et al. ∙ 2 ∙ share

read it
Exact Low Tubal Rank Tensor Recovery from Gaussian Measurements

The recent proposed Tensor Nuclear Norm (TNN) [Lu et al., 2016; 2018a] i...
06/07/2018 ∙ by Canyi Lu, et al. ∙ 2 ∙ share

read it
Learning Generalizable and Identity-Discriminative Representations for Face Anti-Spoofing

Face anti-spoofing (a.k.a presentation attack detection) has drawn growi...
01/17/2019 ∙ by Xiaoguang Tu, et al. ∙ 2 ∙ share

read it
Deep Model Compression via Filter Auto-sampling

The recent WSNet [1] is a new model compression method through sampling ...
07/12/2019 ∙ by Daquan Zhou, et al. ∙ 1 ∙ share

read it
Central Similarity Hashing via Hadamard matrix

Hashing has been widely used for efficient large-scale multimedia data r...
08/01/2019 ∙ by Li Yuan, et al. ∙ 1 ∙ share

read it
Deep Self-Taught Learning for Weakly Supervised Object Localization

Most existing weakly supervised localization (WSL) approaches learn dete...
04/18/2017 ∙ by Zequn Jie, et al. ∙ 0 ∙ share

read it
Personalized and Occupational-aware Age Progression by Generative Adversarial Networks

Face age progression, which aims to predict the future looks, is importa...
11/26/2017 ∙ by Siyu Zhou, et al. ∙ 0 ∙ share

read it
HashGAN:Attention-aware Deep Adversarial Hashing for Cross Modal Retrieval

As the rapid growth of multi-modal data, hashing methods for cross-modal...
11/26/2017 ∙ by Xi Zhang, et al. ∙ 0 ∙ share

read it
Transferable Semi-supervised Semantic Segmentation

The performance of deep learning based semantic segmentation models heav...
11/18/2017 ∙ by Huaxin Xiao, et al. ∙ 0 ∙ share

read it
Integrated Face Analytics Networks through Cross-Dataset Hybrid Training

Face analytics benefits many multimedia applications. It consists of a n...
11/16/2017 ∙ by Jianshu Li, et al. ∙ 0 ∙ share

read it
Predicting Scene Parsing and Motion Dynamics in the Future

The ability of predicting the future is important for intelligent system...
11/09/2017 ∙ by Xiaojie Jin, et al. ∙ 0 ∙ share

read it
Deep Sparse Subspace Clustering

In this paper, we present a deep extension of Sparse Subspace Clustering...
09/25/2017 ∙ by Xi Peng, et al. ∙ 0 ∙ share

read it
Discriminative Similarity for Clustering and Semi-Supervised Learning

Similarity-based clustering and semi-supervised learning methods separat...
09/05/2017 ∙ by Yingzhen Yang, et al. ∙ 0 ∙ share

read it
Stochastic Primal-Dual Proximal ExtraGradient Descent for Compositely Regularized Optimization

We consider a wide range of regularized stochastic minimization problems...
08/20/2017 ∙ by Tianyi Lin, et al. ∙ 0 ∙ share

read it
DrMAD: Distilling Reverse-Mode Automatic Differentiation for Optimizing Hyperparameters of Deep Neural Networks

The performance of deep neural networks is well-known to be sensitive to...
01/05/2016 ∙ by Jie Fu, et al. ∙ 0 ∙ share

read it
Learning with Rethinking: Recurrently Improving Convolutional Neural Networks through Feedback

Recent years have witnessed the great success of convolutional neural ne...
08/15/2017 ∙ by Xin Li, et al. ∙ 0 ∙ share

read it
Tensor Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Tensors via Convex Optimization

This paper studies the Tensor Robust Principal Component (TRPCA) problem...
08/14/2017 ∙ by Canyi Lu, et al. ∙ 0 ∙ share

read it
FoveaNet: Perspective-aware Urban Scene Parsing

Parsing urban scene images benefits many applications, especially self-d...
08/08/2017 ∙ by Xin Li, et al. ∙ 0 ∙ share

read it
A Simple Loss Function for Improving the Convergence and Accuracy of Visual Question Answering Models

Visual question answering as recently proposed multimodal learning task ...
08/02/2017 ∙ by Ilija Ilievski, et al. ∙ 0 ∙ share

read it
The Landscape of Deep Learning Algorithms

This paper studies the landscape of empirical risk of deep neural networ...
05/19/2017 ∙ by Pan Zhou, et al. ∙ 0 ∙ share

read it
Neural Person Search Machines

We investigate the problem of person search in the wild in this work. In...
07/21/2017 ∙ by Hao Liu, et al. ∙ 0 ∙ share

read it
A Unified Framework for Stochastic Matrix Factorization via Variance Reduction

We propose a unified framework to speed up the existing stochastic matri...
05/19/2017 ∙ by Renbo Zhao, et al. ∙ 0 ∙ share

read it
Dual Path Networks

In this work, we present a simple, highly efficient and modularized Dual...
07/06/2017 ∙ by Yunpeng Chen, et al. ∙ 0 ∙ share

read it
On Fundamental Limits of Robust Learning

We consider the problems of robust PAC learning from distributed and str...
03/30/2017 ∙ by Jiashi Feng, et al. ∙ 0 ∙ share

read it
Perceptual Generative Adversarial Networks for Small Object Detection

Detecting small objects is notoriously challenging due to their low reso...
06/16/2017 ∙ by Jianan Li, et al. ∙ 0 ∙ share

read it
Generative Partition Networks for Multi-Person Pose Estimation

This paper proposes a new Generative Partition Network (GPN) to address ...
05/21/2017 ∙ by Xuecheng Nie, et al. ∙ 0 ∙ share

read it
Towards Real World Human Parsing: Multiple-Human Parsing in the Wild

The recent progress of human parsing techniques has been largely driven ...
05/19/2017 ∙ by Jianshu Li, et al. ∙ 0 ∙ share

read it
IAN: The Individual Aggregation Network for Person Search

Person search in real-world scenarios is a new challenging computer vers...
05/16/2017 ∙ by Jimin Xiao, et al. ∙ 0 ∙ share

read it
Outlier Robust Online Learning

We consider the problem of learning from noisy data in practical setting...
01/01/2017 ∙ by Jiashi Feng, et al. ∙ 0 ∙ share

read it
Learning Detection with Diverse Proposals

To predict a set of diverse and informative proposals with enriched repr...
04/11/2017 ∙ by Samaneh Azadi, et al. ∙ 0 ∙ share

read it

Jiashi Feng

Featured Co-authors