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09/13/2023
Prompting Segmentation with Sound is Generalizable Audio-Visual Source Localizer
Never having seen an object and heard its sound simultaneously, can the ...
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08/28/2023
Bridging Cross-task Protocol Inconsistency for Distillation in Dense Object Detection
Knowledge distillation (KD) has shown potential for learning compact mod...
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08/21/2023
Temporal-Distributed Backdoor Attack Against Video Based Action Recognition
Deep neural networks (DNNs) have achieved tremendous success in various ...
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08/18/2023
Backdoor Mitigation by Correcting the Distribution of Neural Activations
Backdoor (Trojan) attacks are an important type of adversarial exploit a...
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07/25/2023
HeightFormer: Explicit Height Modeling without Extra Data for Camera-only 3D Object Detection in Bird's Eye View
Vision-based Bird's Eye View (BEV) representation is an emerging percept...
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06/06/2023
DenseDINO: Boosting Dense Self-Supervised Learning with Token-Based Point-Level Consistency
In this paper, we propose a simple yet effective transformer framework f...
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06/06/2023
Language Adaptive Weight Generation for Multi-task Visual Grounding
Although the impressive performance in visual grounding, the prevailing ...
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06/06/2023
Referring Expression Comprehension Using Language Adaptive Inference
Different from universal object detection, referring expression comprehe...
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06/06/2023
GaitMPL: Gait Recognition with Memory-Augmented Progressive Learning
Gait recognition aims at identifying the pedestrians at a long distance ...
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06/06/2023
MetaGait: Learning to Learn an Omni Sample Adaptive Representation for Gait Recognition
Gait recognition, which aims at identifying individuals by their walking...
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06/06/2023
GaitGCI: Generative Counterfactual Intervention for Gait Recognition
Gait is one of the most promising biometrics that aims to identify pedes...
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06/06/2023
SGAT4PASS: Spherical Geometry-Aware Transformer for PAnoramic Semantic Segmentation
As an important and challenging problem in computer vision, PAnoramic Se...
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05/16/2023
A Deep RL Approach on Task Placement and Scaling of Edge Resources for Cellular Vehicle-to-Network Service Provisioning
Cellular-Vehicle-to-Everything (C-V2X) is currently at the forefront of ...
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05/10/2023
FusionBooster: A Unified Image Fusion Boosting Paradigm
Numerous ideas have emerged for designing fusion rules in the image fusi...
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04/01/2023
A Pressure-Stabilized Continuous Data Assimilation Reduced Order Model
We present a novel reduced-order pressure stabilization strategy based o...
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03/30/2023
LayoutDiffusion: Controllable Diffusion Model for Layout-to-image Generation
Recently, diffusion models have achieved great success in image synthesi...
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02/13/2023
PUPS: Point Cloud Unified Panoptic Segmentation
Point cloud panoptic segmentation is a challenging task that seeks a hol...
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11/21/2022
DeSTSeg: Segmentation Guided Denoising Student-Teacher for Anomaly Detection
Visual anomaly detection, an important problem in computer vision, is us...
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11/20/2022
Adaptive Edge-to-Edge Interaction Learning for Point Cloud Analysis
Recent years have witnessed the great success of deep learning on variou...
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09/28/2022
Adma-GAN: Attribute-Driven Memory Augmented GANs for Text-to-Image Generation
As a challenging task, text-to-image generation aims to generate photo-r...
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07/18/2022
UniFormer: Unified Multi-view Fusion Transformer for Spatial-Temporal Representation in Bird's-Eye-View
Bird's eye view (BEV) representation is a new perception formulation for...
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07/14/2022
Dynamic Low-Resolution Distillation for Cost-Efficient End-to-End Text Spotting
End-to-end text spotting has attached great attention recently due to it...
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06/23/2022
Entropy-driven Sampling and Training Scheme for Conditional Diffusion Generation
Denoising Diffusion Probabilistic Model (DDPM) is able to make flexible ...
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06/15/2022
Ultra Fast Deep Lane Detection with Hybrid Anchor Driven Ordinal Classification
Modern methods mainly regard lane detection as a problem of pixel-wise s...
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06/15/2022
MonoGround: Detecting Monocular 3D Objects from the Ground
Monocular 3D object detection has attracted great attention for its adva...
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05/12/2022
F3A-GAN: Facial Flow for Face Animation with Generative Adversarial Networks
Formulated as a conditional generation problem, face animation aims at s...
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05/12/2022
D3T-GAN: Data-Dependent Domain Transfer GANs for Few-shot Image Generation
As an important and challenging problem, few-shot image generation aims ...
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05/06/2022
OROS: Orchestrating ROS-driven Collaborative Connected Robots in Mission-Critical Operations
Battery life for collaborative robotics scenarios is a key challenge lim...
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04/22/2022
MIPR:Automatic Annotation of Medical Images with Pixel Rearrangement
Most of the state-of-the-art semantic segmentation reported in recent ye...
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04/21/2022
Referring Expression Comprehension via Cross-Level Multi-Modal Fusion
As an important and challenging problem in vision-language tasks, referr...
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03/16/2022
RBC: Rectifying the Biased Context in Continual Semantic Segmentation
Recent years have witnessed a great development of Convolutional Neural ...
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02/18/2022
A Review on Methods and Applications in Multimodal Deep Learning
Deep Learning has implemented a wide range of applications and has becom...
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02/10/2022
Bias-Eliminated Semantic Refinement for Any-Shot Learning
When training samples are scarce, the semantic embedding technique, ie, ...
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01/19/2022
An efficient Chorin-Temam projection proper orthogonal decomposition based reduced-order model for nonstationary Stokes equations
In this paper, we propose an efficient proper orthogonal decomposition b...
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01/13/2022
CFNet: Learning Correlation Functions for One-Stage Panoptic Segmentation
Recently, there is growing attention on one-stage panoptic segmentation ...
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01/09/2022
Phocus: Picking Valuable Research from a Sea of Citations
The deluge of new papers has significantly blocked the development of ac...
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12/06/2021
Test-Time Detection of Backdoor Triggers for Poisoned Deep Neural Networks
Backdoor (Trojan) attacks are emerging threats against deep neural netwo...
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10/20/2021
Detecting Backdoor Attacks Against Point Cloud Classifiers
Backdoor attacks (BA) are an emerging threat to deep neural network clas...
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10/12/2021
MGH: Metadata Guided Hypergraph Modeling for Unsupervised Person Re-identification
As a challenging task, unsupervised person ReID aims to match the same i...
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09/06/2021
Backdoor Attack and Defense for Deep Regression
We demonstrate a backdoor attack on a deep neural network used for regre...
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07/28/2021
Robust and Active Learning for Deep Neural Network Regression
We describe a gradient-based method to discover local error maximizers o...
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07/16/2021
A Survey on Deep Domain Adaptation and Tiny Object Detection Challenges, Techniques and Datasets
This survey paper specially analyzed computer vision-based object detect...
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07/13/2021
Multitask Identity-Aware Image Steganography via Minimax Optimization
High-capacity image steganography, aimed at concealing a secret image in...
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06/30/2021
When Video Classification Meets Incremental Classes
With the rapid development of social media, tremendous videos with new c...
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06/28/2021
Progressive Class-based Expansion Learning For Image Classification
In this paper, we propose a novel image process scheme called class-base...
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06/06/2021
Attend and Select: A Segment Attention based Selection Mechanism for Microblog Hashtag Generation
Automatic microblog hashtag generation can help us better and faster und...
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05/30/2021
VersatileGait: A Large-Scale Synthetic Gait Dataset Towards in-the-Wild Simulation
Gait recognition has a rapid development in recent years. However, gait ...
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05/29/2021
Automated Timeline Length Selection for Flexible Timeline Summarization
By producing summaries for long-running events, timeline summarization (...
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05/28/2021
A BIC based Mixture Model Defense against Data Poisoning Attacks on Classifiers
Data Poisoning (DP) is an effective attack that causes trained classifie...
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05/24/2021
