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04/21/2023
Can SAM Count Anything? An Empirical Study on SAM Counting
Meta AI recently released the Segment Anything model (SAM), which has ga...
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03/24/2023
Remind of the Past: Incremental Learning with Analogical Prompts
Although data-free incremental learning methods are memory-friendly, acc...
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03/12/2023
Towards Practical Multi-Robot Hybrid Tasks Allocation for Autonomous Cleaning
Task allocation plays a vital role in multi-robot autonomous cleaning sy...
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02/28/2023
Benchmarking Deepart Detection
Deepfake technologies have been blurring the boundaries between the real...
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11/29/2022
Isolation and Impartial Aggregation: A Paradigm of Incremental Learning without Interference
This paper focuses on the prevalent performance imbalance in the stages ...
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09/07/2022
Semi-supervised Crowd Counting via Density Agency
In this paper, we propose a new agency-guided semi-supervised counting a...
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07/26/2022
S-Prompts Learning with Pre-trained Transformers: An Occam's Razor for Domain Incremental Learning
State-of-the-art deep neural networks are still struggling to address th...
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05/11/2022
A Continual Deepfake Detection Benchmark: Dataset, Methods, and Essentials
There have been emerging a number of benchmarks and techniques for the d...
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03/11/2022
Deep Class Incremental Learning from Decentralized Data
In this paper, we focus on a new and challenging decentralized machine l...
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03/05/2022
Boosting Crowd Counting via Multifaceted Attention
This paper focuses on the challenging crowd counting task. As large-scal...
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12/11/2021
Object Counting: You Only Need to Look at One
This paper aims to tackle the challenging task of one-shot object counti...
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12/10/2021
Short and Long Range Relation Based Spatio-Temporal Transformer for Micro-Expression Recognition
Being spontaneous, micro-expressions are useful in the inference of a pe...
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11/21/2021
3D Visual Tracking Framework with Deep Learning for Asteroid Exploration
3D visual tracking is significant to deep space exploration programs, wh...
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07/21/2021
Anomaly Detection via Self-organizing Map
Anomaly detection plays a key role in industrial manufacturing for produ...
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07/04/2021
Direct Measure Matching for Crowd Counting
Traditional crowd counting approaches usually use Gaussian assumption to...
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05/31/2021
Know Your Surroundings: Panoramic Multi-Object Tracking by Multimodality Collaboration
In this paper, we focus on the multi-object tracking (MOT) problem of au...
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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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07/27/2020
Learning Task-oriented Disentangled Representations for Unsupervised Domain Adaptation
Unsupervised domain adaptation (UDA) aims to address the domain-shift pr...
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07/24/2020
Micro-expression spotting: A new benchmark
Micro-expressions (MEs) are brief and involuntary facial expressions tha...
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04/23/2020
Few-Shot Class-Incremental Learning
The ability to incrementally learn new classes is crucial to the develop...
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11/11/2019
Learning Graph Convolutional Network for Skeleton-based Human Action Recognition by Neural Searching
Human action recognition from skeleton data, fueled by the Graph Convolu...
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10/30/2019
Universal Adversarial Perturbations Against Person Re-Identification
Person re-identification (re-ID) has made great progress and achieved hi...
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09/10/2019
Structured Modeling of Joint Deep Feature and Prediction Refinement for Salient Object Detection
Recent saliency models extensively explore to incorporate multi-scale co...
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08/10/2019
Bayesian Loss for Crowd Count Estimation with Point Supervision
In crowd counting datasets, each person is annotated by a point, which i...
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07/27/2019
Remote Heart Rate Measurement from Highly Compressed Facial Videos: an End-to-end Deep Learning Solution with Video Enhancement
Remote photoplethysmography (rPPG), which aims at measuring heart activi...
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07/10/2019
Video Action Recognition Via Neural Architecture Searching
Deep neural networks have achieved great success for video analysis and ...
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04/29/2019
Attribute Guided Unpaired Image-to-Image Translation with Semi-supervised Learning
Unpaired Image-to-Image Translation (UIT) focuses on translating images ...
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04/18/2019
DDNet: Cartesian-polar Dual-domain Network for the Joint Optic Disc and Cup Segmentation
Existing joint optic disc and cup segmentation approaches are developed ...
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01/23/2019
A Boost in Revealing Subtle Facial Expressions: A Consolidated Eulerian Framework
Facial Micro-expression Recognition (MER) distinguishes the underlying e...
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01/15/2019
Spatiotemporal Recurrent Convolutional Networks for Recognizing Spontaneous Micro-expressions
Recently, the recognition task of spontaneous facial micro-expressions h...
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12/19/2018
Cross-Database Micro-Expression Recognition: A Benchmark
Cross-database micro-expression recognition (CDMER) is one of recently e...
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12/03/2018
Universal Perturbation Attack Against Image Retrieval
Despite the remarkable success, deep learning models have shown to be vu...
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10/08/2017
Micro-Expression Spotting: A Benchmark
Micro-expressions are rapid and involuntary facial expressions, which in...
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09/30/2017
PCANet-II: When PCANet Meets the Second Order Pooling
PCANet, as one noticeable shallow network, employs the histogram represe...
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08/04/2016
Saliency Integration: An Arbitrator Model
Saliency integration approaches have aroused general concern on unifying...
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04/15/2016
Probing the Intra-Component Correlations within Fisher Vector for Material Classification
Fisher vector (FV) has become a popular image representation. One notabl...
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02/01/2015
