251 citations · 2.2k across the 123 of their papers we have counts for
15 papers · 1 filter
Support Vector Guided Softmax Loss for Face Recognition
Xiaobo Wang, Shuo Wang, Shifeng Zhang +3
Face recognition has witnessed significant progresses due to the advances of deep convolutional neural networks (CNNs), the central challenge of which, is feature discrimination. T…
KTAN: Knowledge Transfer Adversarial Network
Peiye Liu, Wu Liu, Huadong Ma +2
To reduce the large computation and storage cost of a deep convolutional neural network, the knowledge distillation based methods have pioneered to transfer the generalization abil…
ScratchDet: Training Single-Shot Object Detectors from Scratch
Rui Zhu, Shifeng Zhang, Xiaobo Wang +4
Current state-of-the-art object objectors are fine-tuned from the off-the-shelf networks pretrained on large-scale classification dataset ImageNet, which incurs some additional pro…
Exploring Visual Relationship for Image Captioning
Ting Yao, Yingwei Pan, Yehao Li +1
It is always well believed that modeling relationships between objects would be helpful for representing and eventually describing an image. Nevertheless, there has not been eviden…
Learning from History and Present: Next-item Recommendation via Discriminatively Exploiting User Behaviors
Zhi Li, Hongke Zhao, Qi Liu +3
In the modern e-commerce, the behaviors of customers contain rich information, e.g., consumption habits, the dynamics of preferences. Recently, session-based recommendations are be…
Subspace Clustering by Block Diagonal Representation
Canyi Lu, Jiashi Feng, Zhouchen Lin +2
This paper studies the subspace clustering problem. Given some data points approximately drawn from a union of subspaces, the goal is to group these data points into their underlyi…
Fully Convolutional Adaptation Networks for Semantic Segmentation
Yiheng Zhang, Zhaofan Qiu, Ting Yao +2
The recent advances in deep neural networks have convincingly demonstrated high capability in learning vision models on large datasets. Nevertheless, collecting expert labeled data…
Memory Matching Networks for One-Shot Image Recognition
Qi Cai, Yingwei Pan, Ting Yao +2
In this paper, we introduce the new ideas of augmenting Convolutional Neural Networks (CNNs) with Memory and learning to learn the network parameters for the unlabelled images on t…
Deep Semantic Hashing with Generative Adversarial Networks
Zhaofan Qiu, Yingwei Pan, Ting Yao +1
Hashing has been a widely-adopted technique for nearest neighbor search in large-scale image retrieval tasks. Recent research has shown that leveraging supervised information can l…
Jointly Localizing and Describing Events for Dense Video Captioning
Yehao Li, Ting Yao, Yingwei Pan +2
Automatically describing a video with natural language is regarded as a fundamental challenge in computer vision. The problem nevertheless is not trivial especially when a video co…
To Create What You Tell: Generating Videos from Captions
Yingwei Pan, Zhaofan Qiu, Ting Yao +2
We are creating multimedia contents everyday and everywhere. While automatic content generation has played a fundamental challenge to multimedia community for decades, recent advan…
Part-Aligned Bilinear Representations for Person Re-identification
Yumin Suh, Jingdong Wang, Siyu Tang +2
We propose a novel network that learns a part-aligned representation for person re-identification. It handles the body part misalignment problem, that is, body parts are misaligned…
To Find Where You Talk: Temporal Sentence Localization in Video with Attention Based Location Regression
Yitian Yuan, Tao Mei, Wenwu Zhu
Given an untrimmed video and a sentence description, temporal sentence localization aims to automatically determine the start and end points of the described sentence within the vi…
DA-GAN: Instance-level Image Translation by Deep Attention Generative Adversarial Networks (with Supplementary Materials)
Shuang Ma, Jianlong Fu, Chang Wen Chen +1
Unsupervised image translation, which aims in translating two independent sets of images, is challenging in discovering the correct correspondences without paired data. Existing wo…
Tell-and-Answer: Towards Explainable Visual Question Answering using Attributes and Captions
Qing Li, Jianlong Fu, Dongfei Yu +2
Visual Question Answering (VQA) has attracted attention from both computer vision and natural language processing communities. Most existing approaches adopt the pipeline of repres…