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08/31/2023
A stochastic block model for community detection in attributed networks
Community detection is an important content in complex network analysis....
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08/27/2023
Unified and Dynamic Graph for Temporal Character Grouping in Long Videos
Video temporal character grouping locates appearing moments of major cha...
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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...
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08/14/2023
Temporal Sentence Grounding in Streaming Videos
This paper aims to tackle a novel task - Temporal Sentence Grounding in ...
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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...
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08/01/2023
Generative Query Reformulation for Effective Adhoc Search
Performing automatic reformulations of a user's query is a popular parad...
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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...
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06/27/2023
DSRM: Boost Textual Adversarial Training with Distribution Shift Risk Minimization
Adversarial training is one of the best-performing methods in improving ...
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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...
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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...
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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...
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05/30/2023
AMatFormer: Efficient Feature Matching via Anchor Matching Transformer
Learning based feature matching methods have been commonly studied in re...
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05/26/2023
Three Towers: Flexible Contrastive Learning with Pretrained Image Models
We introduce Three Towers (3T), a flexible method to improve the contras...
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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...
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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...
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05/12/2023
Revisiting Temporal Blocking Stencil Optimizations
Iterative stencils are used widely across the spectrum of High Performan...
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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...
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04/24/2023
Hierarchical Contrastive Learning Enhanced Heterogeneous Graph Neural Network
Heterogeneous graph neural networks (HGNNs) as an emerging technique hav...
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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...
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04/17/2023
InstructUIE: Multi-task Instruction Tuning for Unified Information Extraction
Large language models have unlocked strong multi-task capabilities from ...
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04/09/2023
Curricular Object Manipulation in LiDAR-based Object Detection
This paper explores the potential of curriculum learning in LiDAR-based ...
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04/08/2023
Efficient Multimodal Sampling via Tempered Distribution Flow
Sampling from high-dimensional distributions is a fundamental problem in...
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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...
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03/26/2023
RGBT Tracking via Progressive Fusion Transformer with Dynamically Guided Learning
Existing Transformer-based RGBT tracking methods either use cross-attent...
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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...
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03/14/2023
AdPE: Adversarial Positional Embeddings for Pretraining Vision Transformers via MAE+
Unsupervised learning of vision transformers seeks to pretrain an encode...
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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...
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01/25/2023
DEJA VU: Continual Model Generalization For Unseen Domains
In real-world applications, deep learning models often run in non-statio...
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01/11/2023
Partial Conditioning for Inferential Models
Inferential models have been proposed for valid and efficient prior-free...
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11/30/2022
Directed Acyclic Graph Structure Learning from Dynamic Graphs
Estimating the structure of directed acyclic graphs (DAGs) of features (...
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11/23/2022
Private Multi-Winner Voting for Machine Learning
Private multi-winner voting is the task of revealing k-hot binary vector...
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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...
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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...
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11/17/2022
HARDVS: Revisiting Human Activity Recognition with Dynamic Vision Sensors
The main streams of human activity recognition (HAR) algorithms are deve...
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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...
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10/06/2022
Uncovering the Structural Fairness in Graph Contrastive Learning
Recent studies show that graph convolutional network (GCN) often perform...
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10/05/2022
Revisiting Graph Contrastive Learning from the Perspective of Graph Spectrum
Graph Contrastive Learning (GCL), learning the node representations by a...
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09/28/2022
Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure
Most Graph Neural Networks (GNNs) predict the labels of unseen graphs by...
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09/14/2022
PaLI: A Jointly-Scaled Multilingual Language-Image Model
Effective scaling and a flexible task interface enable large language mo...
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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...
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08/18/2022
Learning Spatial-Frequency Transformer for Visual Object Tracking
Recent trackers adopt the Transformer to combine or replace the widely u...
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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...
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07/26/2022
Criteria Comparative Learning for Real-scene Image Super-Resolution
Real-scene image super-resolution aims to restore real-world low-resolut...
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07/26/2022
SPAIC: A Spike-based Artificial Intelligence Computing Framework
Neuromorphic computing is an emerging research field that aims to develo...
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05/26/2022
Prompt-based Learning for Unpaired Image Captioning
Unpaired Image Captioning (UIC) has been developed to learn image descri...
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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...
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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...
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05/13/2022
Provably Safe Reinforcement Learning: A Theoretical and Experimental Comparison
Ensuring safety of reinforcement learning (RL) algorithms is crucial for...
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05/12/2022
Image Gradient Decomposition for Parallel and Memory-Efficient Ptychographic Reconstruction
Ptychography is a popular microscopic imaging modality for many scientif...
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04/25/2022