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04/08/2023
High-Fidelity Clothed Avatar Reconstruction from a Single Image
This paper presents a framework for efficient 3D clothed avatar reconstr...
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04/03/2023
Monocular 3D Object Detection with Bounding Box Denoising in 3D by Perceiver
The main challenge of monocular 3D object detection is the accurate loca...
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03/14/2023
AdPE: Adversarial Positional Embeddings for Pretraining Vision Transformers via MAE+
Unsupervised learning of vision transformers seeks to pretrain an encode...
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02/25/2023
Self-similarity Driven Scale-invariant Learning for Weakly Supervised Person Search
Weakly supervised person search aims to jointly detect and match persons...
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02/18/2023
MorphGANFormer: Transformer-based Face Morphing and De-Morphing
Semantic face image manipulation has received increasing attention in re...
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12/29/2022
Efficient Image Super-Resolution with Feature Interaction Weighted Hybrid Network
Recently, great progress has been made in single-image super-resolution ...
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12/29/2022
Planning Paths through Occlusions in Urban Environments
This paper presents a novel framework for planning in unknown and occlud...
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10/23/2022
Adversarial Pretraining of Self-Supervised Deep Networks: Past, Present and Future
In this paper, we review adversarial pretraining of self-supervised deep...
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08/05/2022
Exploring Resolution and Degradation Clues as Self-supervised Signal for Low Quality Object Detection
Image restoration algorithms such as super resolution (SR) are indispens...
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07/14/2022
AIParsing: Anchor-free Instance-level Human Parsing
Most state-of-the-art instance-level human parsing models adopt two-stag...
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07/06/2022
Cross-receptive Focused Inference Network for Lightweight Image Super-Resolution
With the development of deep learning, single image super-resolution (SI...
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05/06/2022
Multitask AET with Orthogonal Tangent Regularity for Dark Object Detection
Dark environment becomes a challenge for computer vision algorithms owin...
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04/19/2022
CTCNet: A CNN-Transformer Cooperation Network for Face Image Super-Resolution
Recently, deep convolution neural networks (CNNs) steered face super-res...
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03/27/2022
CaCo: Both Positive and Negative Samples are Directly Learnable via Cooperative-adversarial Contrastive Learning
As a representative self-supervised method, contrastive learning has ach...
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01/22/2022
Dual-Flattening Transformers through Decomposed Row and Column Queries for Semantic Segmentation
It is critical to obtain high resolution features with long range depend...
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01/07/2022
RestoreDet: Degradation Equivariant Representation for Object Detection in Low Resolution Images
Image restoration algorithms such as super resolution (SR) are indispens...
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04/15/2021
Contrastive Learning with Stronger Augmentations
Representation learning has significantly been developed with the advanc...
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03/25/2021
Hierarchical Deep CNN Feature Set-Based Representation Learning for Robust Cross-Resolution Face Recognition
Cross-resolution face recognition (CRFR), which is important in intellig...
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10/08/2020
Improved Techniques for Model Inversion Attacks
Model inversion (MI) attacks in the whitebox setting are aimed at recons...
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07/27/2020
K-Shot Contrastive Learning of Visual Features with Multiple Instance Augmentations
In this paper, we propose the K-Shot Contrastive Learning (KSCL) of visu...
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05/09/2020
Human in Events: A Large-Scale Benchmark for Human-centric Video Analysis in Complex Events
Along with the development of the modern smart city, human-centric video...
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01/09/2020
Spatial-Temporal Transformer Networks for Traffic Flow Forecasting
Traffic forecasting has emerged as a core component of intelligent trans...
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11/21/2019
EnAET: Self-Trained Ensemble AutoEncoding Transformations for Semi-Supervised Learning
Deep neural networks have been successfully applied to many real-world a...
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11/19/2019
GraphTER: Unsupervised Learning of Graph Transformation Equivariant Representations via Auto-Encoding Node-wise Transformations
Recent advances in Graph Convolutional Neural Networks (GCNNs) have show...
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11/16/2019
AETv2: AutoEncoding Transformations for Self-Supervised Representation Learning by Minimizing Geodesic Distances in Lie Groups
Self-supervised learning by predicting transformations has demonstrated ...
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10/25/2019
Progressive Unsupervised Person Re-identification by Tracklet Association with Spatio-Temporal Regularization
Existing methods for person re-identification (Re-ID) are mostly based o...
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09/29/2019
Spatiotemporal Co-attention Recurrent Neural Networks for Human-Skeleton Motion Prediction
Human motion prediction aims to generate future motions based on the obs...
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07/12/2019
PC-DARTS: Partial Channel Connections for Memory-Efficient Differentiable Architecture Search
Differentiable architecture search (DARTS) provided a fast solution in f...
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06/19/2019
Learning Generalized Transformation Equivariant Representations via Autoencoding Transformations
Learning Transformation Equivariant Representations (TERs) seeks to capt...
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05/09/2019
Differential Recurrent Neural Network and its Application for Human Activity Recognition
The Long Short-Term Memory (LSTM) recurrent neural network is capable of...
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03/27/2019
Small Data Challenges in Big Data Era: A Survey of Recent Progress on Unsupervised and Semi-Supervised Methods
Small data challenges have emerged in many learning problems, since the ...
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03/23/2019
AVT: Unsupervised Learning of Transformation Equivariant Representations by Autoencoding Variational Transformations
The learning of Transformation-Equivariant Representations (TERs), which...
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02/15/2019
Learning to Adaptively Scale Recurrent Neural Networks
Recent advancements in recurrent neural network (RNN) research have demo...
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01/14/2019
AET vs. AED: Unsupervised Representation Learning by Auto-Encoding Transformations rather than Data
The success of deep neural networks often relies on a large amount of la...
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01/09/2019
Deep Semantic Multimodal Hashing Network for Scalable Multimedia Retrieval
Hashing has been widely applied to multimodal retrieval on large-scale m...
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11/01/2018
Hierarchical Long Short-Term Concurrent Memory for Human Interaction Recognition
In this paper, we aim to address the problem of human interaction recogn...
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05/25/2018
A Study of Question Effectiveness Using Reddit "Ask Me Anything" Threads
Asking effective questions is a powerful social skill. In this paper we ...
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05/20/2018
Task-Agnostic Meta-Learning for Few-shot Learning
Meta-learning approaches have been proposed to tackle the few-shot learn...
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05/19/2018
CapProNet: Deep Feature Learning via Orthogonal Projections onto Capsule Subspaces
In this paper, we formalize the idea behind capsule nets of using a caps...
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05/07/2018
Deep Ordinal Hashing with Spatial Attention
Hashing has attracted increasing research attentions in recent years due...
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05/07/2018
Sharp Attention Network via Adaptive Sampling for Person Re-identification
In this paper, we present novel sharp attention networks by adaptively s...
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04/17/2018
IGCV2: Interleaved Structured Sparse Convolutional Neural Networks
In this paper, we study the problem of designing efficient convolutional...
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04/11/2018
Deep Differential Recurrent Neural Networks
Due to the special gating schemes of Long Short-Term Memory (LSTM), LSTM...
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11/16/2017
Global versus Localized Generative Adversarial Nets
In this paper, we present a novel localized Generative Adversarial Net (...
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07/10/2017
Interleaved Group Convolutions for Deep Neural Networks
In this paper, we present a simple and modularized neural network archit...
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06/03/2017
Concurrence-Aware Long Short-Term Sub-Memories for Person-Person Action Recognition
Recently, Long Short-Term Memory (LSTM) has become a popular choice to m...
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03/22/2017
Joint Intermodal and Intramodal Label Transfers for Extremely Rare or Unseen Classes
In this paper, we present a label transfer model from texts to images fo...
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01/23/2017
Loss-Sensitive Generative Adversarial Networks on Lipschitz Densities
*New Theory Result* We analyze the generalizability of the LS-GAN, showi...
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06/06/2015
First-Take-All: Temporal Order-Preserving Hashing for 3D Action Videos
With the prevalence of the commodity depth cameras, the new paradigm of ...
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04/25/2015
