b'Xiao Wang'

research

∙ 08/31/2023

A stochastic block model for community detection in attributed networks

Community detection is an important content in complex network analysis....

0 Xiao Wang, et al. ∙

research

∙ 08/27/2023

Unified and Dynamic Graph for Temporal Character Grouping in Long Videos

Video temporal character grouping locates appearing moments of major cha...

0 Xiujun Shu, et al. ∙

research

∙ 08/23/2023

Learning Bottleneck Transformer for Event Image-Voxel Feature Fusion based Classification

Recognizing target objects using an event-based camera draws more and mo...

0 Chengguo Yuan, et al. ∙

research

∙ 08/14/2023

Temporal Sentence Grounding in Streaming Videos

This paper aims to tackle a novel task - Temporal Sentence Grounding in ...

0 Tian Gan, et al. ∙

research

∙ 08/08/2023

SSTFormer: Bridging Spiking Neural Network and Memory Support Transformer for Frame-Event based Recognition

Event camera-based pattern recognition is a newly arising research topic...

0 Xiao Wang, et al. ∙

research

∙ 08/01/2023

Generative Query Reformulation for Effective Adhoc Search

Performing automatic reformulations of a user's query is a popular parad...

0 Xiao Wang, et al. ∙

research

∙ 06/27/2023

Semi Bandit Dynamics in Congestion Games: Convergence to Nash Equilibrium and No-Regret Guarantees

In this work, we introduce a new variant of online gradient descent, whi...

0 Ioannis Panageas, et al. ∙

research

∙ 06/27/2023

DSRM: Boost Textual Adversarial Training with Distribution Shift Risk Minimization

Adversarial training is one of the best-performing methods in improving ...

0 Songyang Gao, et al. ∙

research

∙ 06/13/2023

Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-prone Graphs

Real-world graphs generally have only one kind of tendency in their conn...

1 Yizhen Zheng, et al. ∙

research

∙ 06/08/2023

Point-Voxel Absorbing Graph Representation Learning for Event Stream based Recognition

Sampled point and voxel methods are usually employed to downsample the d...

4 Bo Jiang, et al. ∙

research

∙ 06/06/2023

Exploiting Scratchpad Memory for Deep Temporal Blocking: A case study for 2D Jacobian 5-point iterative stencil kernel (j2d5pt)

General Purpose Graphics Processing Units (GPGPU) are used in most of th...

0 Lingqi Zhang, et al. ∙

research

∙ 05/30/2023

AMatFormer: Efficient Feature Matching via Anchor Matching Transformer

Learning based feature matching methods have been commonly studied in re...

3 Bo Jiang, et al. ∙

research

∙ 05/26/2023

Three Towers: Flexible Contrastive Learning with Pretrained Image Models

We introduce Three Towers (3T), a flexible method to improve the contras...

0 Jannik Kossen, et al. ∙

research

∙ 05/22/2023

Farewell to Aimless Large-scale Pretraining: Influential Subset Selection for Language Model

Pretrained language models have achieved remarkable success in various n...

0 Xiao Wang, et al. ∙

research

∙ 05/21/2023

A Confidence-based Partial Label Learning Model for Crowd-Annotated Named Entity Recognition

Existing models for named entity recognition (NER) are mainly based on l...

0 Limao Xiong, et al. ∙

research

∙ 05/12/2023

Revisiting Temporal Blocking Stencil Optimizations

Iterative stencils are used widely across the spectrum of High Performan...

0 Lingqi Zhang, et al. ∙

research

∙ 05/08/2023

ReGeneration Learning of Diffusion Models with Rich Prompts for Zero-Shot Image Translation

Large-scale text-to-image models have demonstrated amazing ability to sy...

2 Yupei Lin, et al. ∙

research

∙ 04/24/2023

Hierarchical Contrastive Learning Enhanced Heterogeneous Graph Neural Network

Heterogeneous graph neural networks (HGNNs) as an emerging technique hav...

4 Nian Liu, et al. ∙

research

∙ 04/20/2023

Learning CLIP Guided Visual-Text Fusion Transformer for Video-based Pedestrian Attribute Recognition

Existing pedestrian attribute recognition (PAR) algorithms are mainly de...

8 Jun Zhu, et al. ∙

research

∙ 04/17/2023

InstructUIE: Multi-task Instruction Tuning for Unified Information Extraction

Large language models have unlocked strong multi-task capabilities from ...

0 Xiao Wang, et al. ∙

research

∙ 04/09/2023

Curricular Object Manipulation in LiDAR-based Object Detection

This paper explores the potential of curriculum learning in LiDAR-based ...

11 Ziyue Zhu, et al. ∙

research

∙ 04/08/2023

Efficient Multimodal Sampling via Tempered Distribution Flow

Sampling from high-dimensional distributions is a fundamental problem in...

6 Yixuan Qiu, et al. ∙

research

∙ 03/30/2023

A Study of Autoregressive Decoders for Multi-Tasking in Computer Vision

There has been a recent explosion of computer vision models which perfor...

4 Lucas Beyer, et al. ∙

research

∙ 03/26/2023

RGBT Tracking via Progressive Fusion Transformer with Dynamically Guided Learning

Existing Transformer-based RGBT tracking methods either use cross-attent...

0 Yabin Zhu, et al. ∙

research

∙ 03/15/2023

Micro-video Tagging via Jointly Modeling Social Influence and Tag Relation

The last decade has witnessed the proliferation of micro-videos on vario...

3 Xiao Wang, et al. ∙

research

∙ 03/14/2023

AdPE: Adversarial Positional Embeddings for Pretraining Vision Transformers via MAE+

Unsupervised learning of vision transformers seeks to pretrain an encode...

8 Xiao Wang, et al. ∙

research

∙ 02/20/2023

Large-scale Multi-Modal Pre-trained Models: A Comprehensive Survey

With the urgent demand for generalized deep models, many pre-trained big...

1 Xiao Wang, et al. ∙

research

∙ 01/25/2023

DEJA VU: Continual Model Generalization For Unseen Domains

In real-world applications, deep learning models often run in non-statio...

5 Chenxi Liu, et al. ∙

research

∙ 01/11/2023

Partial Conditioning for Inferential Models

Inferential models have been proposed for valid and efficient prior-free...

0 Jiasen Yang, et al. ∙

research

∙ 11/30/2022

Directed Acyclic Graph Structure Learning from Dynamic Graphs

Estimating the structure of directed acyclic graphs (DAGs) of features (...

0 Shaohua Fan, et al. ∙

research

∙ 11/23/2022

Private Multi-Winner Voting for Machine Learning

Private multi-winner voting is the task of revealing k-hot binary vector...

1 Adam Dziedzic, et al. ∙

research

∙ 11/20/2022

Revisiting Color-Event based Tracking: A Unified Network, Dataset, and Metric

Combining the Color and Event cameras (also called Dynamic Vision Sensor...

0 Chuanming Tang, et al. ∙

research

∙ 11/19/2022

Rethinking Batch Sample Relationships for Data Representation: A Batch-Graph Transformer based Approach

Exploring sample relationships within each mini-batch has shown great po...

0 Xixi Wang, et al. ∙

research

∙ 11/17/2022

HARDVS: Revisiting Human Activity Recognition with Dynamic Vision Sensors

The main streams of human activity recognition (HAR) algorithms are deve...

0 Xiao Wang, et al. ∙

research

∙ 10/19/2022

Provably Safe Reinforcement Learning via Action Projection using Reachability Analysis and Polynomial Zonotopes

While reinforcement learning produces very promising results for many ap...

0 Niklas Kochdumper, et al. ∙

research

∙ 10/06/2022

Uncovering the Structural Fairness in Graph Contrastive Learning

Recent studies show that graph convolutional network (GCN) often perform...

0 Ruijia Wang, et al. ∙

research

∙ 10/05/2022

Revisiting Graph Contrastive Learning from the Perspective of Graph Spectrum

Graph Contrastive Learning (GCL), learning the node representations by a...

0 Nian Liu, et al. ∙

research

∙ 09/28/2022

Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure

Most Graph Neural Networks (GNNs) predict the labels of unseen graphs by...

69 Shaohua Fan, et al. ∙

research

∙ 09/14/2022

PaLI: A Jointly-Scaled Multilingual Language-Image Model

Effective scaling and a flexible task interface enable large language mo...

6 Xi Chen, et al. ∙

research

∙ 08/26/2022

Few-Shot Learning Meets Transformer: Unified Query-Support Transformers for Few-Shot Classification

Few-shot classification which aims to recognize unseen classes using ver...

0 Xixi Wang, et al. ∙

research

∙ 08/18/2022

Learning Spatial-Frequency Transformer for Visual Object Tracking

Recent trackers adopt the Transformer to combine or replace the widely u...

17 Chuanming Tang, et al. ∙

research

∙ 08/18/2022

See Finer, See More: Implicit Modality Alignment for Text-based Person Retrieval

Text-based person retrieval aims to find the query person based on a tex...

6 Xiujun Shu, et al. ∙

research

∙ 07/26/2022

Criteria Comparative Learning for Real-scene Image Super-Resolution

Real-scene image super-resolution aims to restore real-world low-resolut...

2 Yukai Shi, et al. ∙

research

∙ 07/26/2022

SPAIC: A Spike-based Artificial Intelligence Computing Framework

Neuromorphic computing is an emerging research field that aims to develo...

0 Chaofei Hong, et al. ∙

research

∙ 05/26/2022

Prompt-based Learning for Unpaired Image Captioning

Unpaired Image Captioning (UIC) has been developed to learn image descri...

0 Peipei Zhu, et al. ∙

research

∙ 05/20/2022

Robust Sensible Adversarial Learning of Deep Neural Networks for Image Classification

The idea of robustness is central and critical to modern statistical ana...

0 Jungeum Kim, et al. ∙

research

∙ 05/19/2022

Beyond Greedy Search: Tracking by Multi-Agent Reinforcement Learning-based Beam Search

Existing trackers usually select a location or proposal with the maximum...

11 Xiao Wang, et al. ∙

research

∙ 05/13/2022

Provably Safe Reinforcement Learning: A Theoretical and Experimental Comparison

Ensuring safety of reinforcement learning (RL) algorithms is crucial for...

0 Hanna Krasowski, et al. ∙

research

∙ 05/12/2022

Image Gradient Decomposition for Parallel and Memory-Efficient Ptychographic Reconstruction

Ptychography is a popular microscopic imaging modality for many scientif...

0 Xiao Wang, et al. ∙

research

∙ 04/25/2022

Accelerated Multiplicative Weights Update Avoids Saddle Points almost always

We consider non-convex optimization problems with constraint that is a p...

0 Yi Feng, et al. ∙

Xiao Wang

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