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07/17/2023
Dense Affinity Matching for Few-Shot Segmentation
Few-Shot Segmentation (FSS) aims to segment the novel class images with ...
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03/11/2023
Multi-Context Interaction Network for Few-Shot Segmentation
Few-Shot Segmentation (FSS) is challenging for limited support images an...
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03/16/2022
Reducing Flipping Errors in Deep Neural Networks
Deep neural networks (DNNs) have been widely applied in various domains ...
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10/08/2021
Stable Prediction on Graphs with Agnostic Distribution Shift
Graph is a flexible and effective tool to represent complex structures i...
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09/03/2021
Complementary Calibration: Boosting General Continual Learning with Collaborative Distillation and Self-Supervision
General Continual Learning (GCL) aims at learning from non independent a...
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09/03/2021
Self-Taught Cross-Domain Few-Shot Learning with Weakly Supervised Object Localization and Task-Decomposition
The domain shift between the source and target domain is the main challe...
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05/16/2021
Graph-Free Knowledge Distillation for Graph Neural Networks
Knowledge distillation (KD) transfers knowledge from a teacher network t...
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12/24/2020
Learning with Retrospection
Deep neural networks have been successfully deployed in various domains ...
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12/03/2020
Full-Resolution Correspondence Learning for Image Translation
We present the full-resolution correspondence learning for cross-domain ...
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11/05/2020
Deep Metric Learning with Spherical Embedding
Deep metric learning has attracted much attention in recent years, due t...
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11/01/2020
An Embarrassingly Simple Approach to Training Ternary Weight Networks
Deep neural networks (DNNs) have achieved great successes in various dom...
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07/23/2020
SBAT: Video Captioning with Sparse Boundary-Aware Transformer
In this paper, we focus on the problem of applying the transformer struc...
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07/13/2020
Multitask Non-Autoregressive Model for Human Motion Prediction
Human motion prediction, which aims at predicting future human skeletons...
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02/27/2020
Is the Meta-Learning Idea Able to Improve the Generalization of Deep Neural Networks on the Standard Supervised Learning?
Substantial efforts have been made on improving the generalization abili...
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11/01/2019
Low-Rank HOCA: Efficient High-Order Cross-Modal Attention for Video Captioning
This paper addresses the challenging task of video captioning which aims...
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09/08/2019
Meta-Transfer Networks for Zero-Shot Learning
Zero-Shot Learning (ZSL) aims at recognizing unseen categories using som...
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08/26/2019
A Semantics-Guided Class Imbalance Learning Model for Zero-Shot Classification
Zero-Shot Classification (ZSC) equips the learned model with the ability...
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04/10/2019
Text Guided Person Image Synthesis
This paper presents a novel method to manipulate the visual appearance (...
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12/27/2018
Cross-relation Cross-bag Attention for Distantly-supervised Relation Extraction
Distant supervision leverages knowledge bases to automatically label ins...
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11/29/2018
Perceiving Physical Equation by Observing Visual Scenarios
Inferring universal laws of the environment is an important ability of h...
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11/20/2018
Bi-Adversarial Auto-Encoder for Zero-Shot Learning
Existing generative Zero-Shot Learning (ZSL) methods only consider the u...
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08/22/2018
Stacked Pooling: Improving Crowd Counting by Boosting Scale Invariance
In this work, we explore the cross-scale similarity in crowd counting sc...
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05/21/2018
Stacked Semantic-Guided Attention Model for Fine-Grained Zero-Shot Learning
Zero-Shot Learning (ZSL) is achieved via aligning the semantic relations...
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03/07/2018
Multi-Channel Pyramid Person Matching Network for Person Re-Identification
In this work, we present a Multi-Channel deep convolutional Pyramid Pers...
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03/07/2018
Pyramid Person Matching Network for Person Re-identification
In this work, we present a deep convolutional pyramid person matching ne...
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11/14/2017
A Deep Learning Approach for Expert Identification in Question Answering Communities
In this paper, we describe an effective convolutional neural network fra...
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10/21/2017
Text Coherence Analysis Based on Deep Neural Network
In this paper, we propose a novel deep coherence model (DCM) using a con...
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03/27/2017
Transductive Zero-Shot Learning with a Self-training dictionary approach
As an important and challenging problem in computer vision, zero-shot le...
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11/26/2016
Structural Correspondence Learning for Cross-lingual Sentiment Classification with One-to-many Mappings
Structural correspondence learning (SCL) is an effective method for cros...
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11/16/2016
S3Pool: Pooling with Stochastic Spatial Sampling
Feature pooling layers (e.g., max pooling) in convolutional neural netwo...
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10/03/2016
Multi-View Representation Learning: A Survey from Shallow Methods to Deep Methods
Recently, multi-view representation learning has become a rapidly growin...
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06/30/2016
Zero-Shot Learning with Multi-Battery Factor Analysis
Zero-shot learning (ZSL) extends the conventional image classification t...
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05/25/2016
Deep Structured Energy Based Models for Anomaly Detection
In this paper, we attack the anomaly detection problem by directly model...
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01/27/2016
Deep Learning Driven Visual Path Prediction from a Single Image
Capabilities of inference and prediction are significant components of v...
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11/12/2015
Multimodal Skip-gram Using Convolutional Pseudowords
This work studies the representational mapping across multimodal data su...
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07/21/2015
Online Metric-Weighted Linear Representations for Robust Visual Tracking
In this paper, we propose a visual tracker based on a metric-weighted li...
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01/04/2014
