b'Xi Li'

research

∙ 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 ...

0 Yaoting Wang, et al. ∙

research

∙ 08/28/2023

Bridging Cross-task Protocol Inconsistency for Distillation in Dense Object Detection

Knowledge distillation (KD) has shown potential for learning compact mod...

0 Longrong Yang, et al. ∙

research

∙ 08/21/2023

Temporal-Distributed Backdoor Attack Against Video Based Action Recognition

Deep neural networks (DNNs) have achieved tremendous success in various ...

0 Xi Li, et al. ∙

research

∙ 08/18/2023

Backdoor Mitigation by Correcting the Distribution of Neural Activations

Backdoor (Trojan) attacks are an important type of adversarial exploit a...

0 Xi Li, et al. ∙

research

∙ 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...

0 Yiming Wu, et al. ∙

research

∙ 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...

0 Yike Yuan, et al. ∙

research

∙ 06/06/2023

Language Adaptive Weight Generation for Multi-task Visual Grounding

Although the impressive performance in visual grounding, the prevailing ...

0 Wei Su, et al. ∙

research

∙ 06/06/2023

Referring Expression Comprehension Using Language Adaptive Inference

Different from universal object detection, referring expression comprehe...

0 Wei Su, et al. ∙

research

∙ 06/06/2023

GaitMPL: Gait Recognition with Memory-Augmented Progressive Learning

Gait recognition aims at identifying the pedestrians at a long distance ...

0 Huanzhang Dou, et al. ∙

research

∙ 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...

0 Huanzhang Dou, et al. ∙

research

∙ 06/06/2023

GaitGCI: Generative Counterfactual Intervention for Gait Recognition

Gait is one of the most promising biometrics that aims to identify pedes...

0 Huanzhang Dou, et al. ∙

research

∙ 06/06/2023

SGAT4PASS: Spherical Geometry-Aware Transformer for PAnoramic Semantic Segmentation

As an important and challenging problem in computer vision, PAnoramic Se...

0 Xuewei Li, et al. ∙

research

∙ 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 ...

0 Cyril Shih-Huan Hsu, et al. ∙

research

∙ 05/10/2023

FusionBooster: A Unified Image Fusion Boosting Paradigm

Numerous ideas have emerged for designing fusion rules in the image fusi...

0 Chunyang Cheng, et al. ∙

research

∙ 04/01/2023

A Pressure-Stabilized Continuous Data Assimilation Reduced Order Model

We present a novel reduced-order pressure stabilization strategy based o...

0 Xi Li, et al. ∙

research

∙ 03/30/2023

LayoutDiffusion: Controllable Diffusion Model for Layout-to-image Generation

Recently, diffusion models have achieved great success in image synthesi...

0 Guangcong Zheng, et al. ∙

research

∙ 02/13/2023

PUPS: Point Cloud Unified Panoptic Segmentation

Point cloud panoptic segmentation is a challenging task that seeks a hol...

0 Shihao Su, et al. ∙

research

∙ 11/21/2022

DeSTSeg: Segmentation Guided Denoising Student-Teacher for Anomaly Detection

Visual anomaly detection, an important problem in computer vision, is us...

0 Xuan Zhang, et al. ∙

research

∙ 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...

0 Shanshan Zhao, et al. ∙

research

∙ 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...

0 Xintian Wu, et al. ∙

research

∙ 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...

16 Zequn Qin, et al. ∙

research

∙ 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...

0 Ying Chen, et al. ∙

research

∙ 06/23/2022

Entropy-driven Sampling and Training Scheme for Conditional Diffusion Generation

Denoising Diffusion Probabilistic Model (DDPM) is able to make flexible ...

0 Shengming Li, et al. ∙

research

∙ 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...

0 Zequn Qin, et al. ∙

research

∙ 06/15/2022

MonoGround: Detecting Monocular 3D Objects from the Ground

Monocular 3D object detection has attracted great attention for its adva...

0 Zequn Qin, et al. ∙

research

∙ 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...

0 Xintian Wu, et al. ∙

research

∙ 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 ...

0 Xintian Wu, et al. ∙

research

∙ 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...

0 Carmen Delgado, et al. ∙

research

∙ 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...

11 Pingping Dai, et al. ∙

research

∙ 04/21/2022

Referring Expression Comprehension via Cross-Level Multi-Modal Fusion

As an important and challenging problem in vision-language tasks, referr...

0 Peihan Miao, et al. ∙

research

∙ 03/16/2022

RBC: Rectifying the Biased Context in Continual Semantic Segmentation

Recent years have witnessed a great development of Convolutional Neural ...

0 Hanbin Zhao, et al. ∙

research

∙ 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...

0 Jabeen Summaira, et al. ∙

research

∙ 02/10/2022

Bias-Eliminated Semantic Refinement for Any-Shot Learning

When training samples are scarce, the semantic embedding technique, ie, ...

10 Liangjun Feng, et al. ∙

research

∙ 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...

0 Xi Li, et al. ∙

research

∙ 01/13/2022

CFNet: Learning Correlation Functions for One-Stage Panoptic Segmentation

Recently, there is growing attention on one-stage panoptic segmentation ...

0 Yifeng Chen, et al. ∙

research

∙ 01/09/2022

Phocus: Picking Valuable Research from a Sea of Citations

The deluge of new papers has significantly blocked the development of ac...

0 Xinrong Zhang, et al. ∙

research

∙ 12/06/2021

Test-Time Detection of Backdoor Triggers for Poisoned Deep Neural Networks

Backdoor (Trojan) attacks are emerging threats against deep neural netwo...

0 Xi Li, et al. ∙

research

∙ 10/20/2021

Detecting Backdoor Attacks Against Point Cloud Classifiers

Backdoor attacks (BA) are an emerging threat to deep neural network clas...

0 Zhen Xiang, et al. ∙

research

∙ 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...

0 Yiming Wu, et al. ∙

research

∙ 09/06/2021

Backdoor Attack and Defense for Deep Regression

We demonstrate a backdoor attack on a deep neural network used for regre...

0 Xi Li, et al. ∙

research

∙ 07/28/2021

Robust and Active Learning for Deep Neural Network Regression

We describe a gradient-based method to discover local error maximizers o...

0 Xi Li, et al. ∙

research

∙ 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...

22 Muhammed Muzammul, et al. ∙

research

∙ 07/13/2021

Multitask Identity-Aware Image Steganography via Minimax Optimization

High-capacity image steganography, aimed at concealing a secret image in...

0 Jiabao Cui, et al. ∙

research

∙ 06/30/2021

When Video Classification Meets Incremental Classes

With the rapid development of social media, tremendous videos with new c...

0 Hanbin Zhao, et al. ∙

research

∙ 06/28/2021

Progressive Class-based Expansion Learning For Image Classification

In this paper, we propose a novel image process scheme called class-base...

0 Hui Wang, et al. ∙

research

∙ 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...

0 Qianren Mao, et al. ∙

research

∙ 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 ...

0 Pengyi Zhang, et al. ∙

research

∙ 05/29/2021

Automated Timeline Length Selection for Flexible Timeline Summarization

By producing summaries for long-running events, timeline summarization (...

0 Xi Li, et al. ∙

research

∙ 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...

0 Xi Li, et al. ∙

research

∙ 05/24/2021

Recent Advances and Trends in Multimodal Deep Learning: A Review

Deep Learning has implemented a wide range of applications and has becom...

0 Jabeen Summaira, et al. ∙

Xi Li

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