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06/30/2023
Zero-shot Nuclei Detection via Visual-Language Pre-trained Models
Large-scale visual-language pre-trained models (VLPM) have proven their ...
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06/05/2023
Cyclic Learning: Bridging Image-level Labels and Nuclei Instance Segmentation
Nuclei instance segmentation on histopathology images is of great clinic...
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03/29/2023
Latent Feature Relation Consistency for Adversarial Robustness
Deep neural networks have been applied in many computer vision tasks and...
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03/27/2023
CAT:Collaborative Adversarial Training
Adversarial training can improve the robustness of neural networks. Prev...
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03/20/2023
Attention Disturbance and Dual-Path Constraint Network for Occluded Person Re-Identification
Occluded person re-identification (Re-ID) aims to address the potential ...
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02/03/2023
Spectral Aware Softmax for Visible-Infrared Person Re-Identification
Visible-infrared person re-identification (VI-ReID) aims to match specif...
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02/02/2023
Exploring Invariant Representation for Visible-Infrared Person Re-Identification
Cross-spectral person re-identification, which aims to associate identit...
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01/29/2023
Unsupervised Domain Adaptation on Person Re-Identification via Dual-level Asymmetric Mutual Learning
Unsupervised domain adaptation person re-identification (Re-ID) aims to ...
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01/09/2023
Towards Real-Time Panoptic Narrative Grounding by an End-to-End Grounding Network
Panoptic Narrative Grounding (PNG) is an emerging cross-modal grounding ...
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08/21/2022
CycleTrans: Learning Neutral yet Discriminative Features for Visible-Infrared Person Re-Identification
Visible-infrared person re-identification (VI-ReID) is a task of matchin...
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07/19/2022
Dynamic Prototype Mask for Occluded Person Re-Identification
Although person re-identification has achieved an impressive improvement...
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06/14/2022
Learning Best Combination for Efficient N:M Sparsity
By forcing at most N out of M consecutive weights to be non-zero, the re...
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06/04/2022
Occlusion-Resistant Instance Segmentation of Piglets in Farrowing Pens Using Center Clustering Network
Computer vision enables the development of new approaches to monitor the...
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04/17/2022
What Goes beyond Multi-modal Fusion in One-stage Referring Expression Comprehension: An Empirical Study
Most of the existing work in one-stage referring expression comprehensio...
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04/16/2022
Towards Lightweight Transformer via Group-wise Transformation for Vision-and-Language Tasks
Despite the exciting performance, Transformer is criticized for its exce...
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03/13/2022
Global2Local: A Joint-Hierarchical Attention for Video Captioning
Recently, automatic video captioning has attracted increasing attention,...
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03/12/2022
Differentiated Relevances Embedding for Group-based Referring Expression Comprehension
Referring expression comprehension (REC) aims to locate a certain object...
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03/08/2022
Dynamic Dual Trainable Bounds for Ultra-low Precision Super-Resolution Networks
Light-weight super-resolution (SR) models have received considerable att...
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03/08/2022
Coarse-to-Fine Vision Transformer
Vision Transformers (ViT) have made many breakthroughs in computer visio...
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01/30/2022
Optimizing Gradient-driven Criteria in Network Sparsity: Gradient is All You Need
Network sparsity receives popularity mostly due to its capability to red...
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10/17/2021
Towards Language-guided Visual Recognition via Dynamic Convolutions
In this paper, we are committed to establishing an unified and end-to-en...
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09/09/2021
Fine-grained Data Distribution Alignment for Post-Training Quantization
While post-training quantization receives popularity mostly due to its e...
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06/18/2021
HifiFace: 3D Shape and Semantic Prior Guided High Fidelity Face Swapping
In this work, we propose a high fidelity face swapping method, called Hi...
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05/03/2021
Black-Box Dissector: Towards Erasing-based Hard-Label Model Stealing Attack
Model stealing attack aims to create a substitute model that steals the ...
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04/24/2021
Carrying out CNN Channel Pruning in a White Box
Channel Pruning has been long adopted for compressing CNNs, which signif...
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04/18/2021
Lottery Jackpots Exist in Pre-trained Models
Network pruning is an effective approach to reduce network complexity wi...
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03/26/2021
Distilling a Powerful Student Model via Online Knowledge Distillation
Existing online knowledge distillation approaches either adopt the stude...
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03/02/2021
Image-to-image Translation via Hierarchical Style Disentanglement
Recently, image-to-image translation has made significant progress in ac...
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01/20/2021
Non-Parametric Adaptive Network Pruning
Popular network pruning algorithms reduce redundant information by optim...
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01/16/2021
Dual-Level Collaborative Transformer for Image Captioning
Descriptive region features extracted by object detection networks have ...
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12/13/2020
Improving Image Captioning by Leveraging Intra- and Inter-layer Global Representation in Transformer Network
Transformer-based architectures have shown great success in image captio...
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11/17/2020
Learning Efficient GANs via Differentiable Masks and co-Attention Distillation
Generative Adversarial Networks (GANs) have been widely-used in image tr...
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10/20/2020
Towards Scalable Distributed Training of Deep Learning on Public Cloud Clusters
Distributed training techniques have been widely deployed in large-scale...
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09/28/2020
Rotated Binary Neural Network
Binary Neural Network (BNN) shows its predominance in reducing the compl...
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01/23/2020
Channel Pruning via Automatic Structure Search
Channel pruning is among the predominant approaches to compress deep neu...
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08/06/2019
Semi-Supervised Adversarial Monocular Depth Estimation
In this paper, we address the problem of monocular depth estimation when...
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06/04/2019
Dynamic Neural Network Decoupling
Convolutional neural networks (CNNs) have achieved a superior performanc...
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05/28/2019
Dynamic Distribution Pruning for Efficient Network Architecture Search
Network architectures obtained by Neural Architecture Search (NAS) have ...
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01/29/2019
Towards Optimal Discrete Online Hashing with Balanced Similarity
When facing large-scale image datasets, online hashing serves as a promi...
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12/11/2018
Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression
Compressing convolutional neural networks (CNNs) has received ever-incre...
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10/19/2018
Temporal Action Detection by Joint Identification-Verification
Temporal action detection aims at not only recognizing action category b...
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04/24/2017
Fast and Accurate Neural Word Segmentation for Chinese
Neural models with minimal feature engineering have achieved competitive...
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11/19/2016