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09/12/2023
Modality Unifying Network for Visible-Infrared Person Re-Identification
Visible-infrared person re-identification (VI-ReID) is a challenging tas...
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06/27/2023
MAE-GEBD:Winning the CVPR'2023 LOVEU-GEBD Challenge
The Generic Event Boundary Detection (GEBD) task aims to build a model f...
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04/07/2023
High-order Spatial Interactions Enhanced Lightweight Model for Optical Remote Sensing Image-based Small Ship Detection
Accurate and reliable optical remote sensing image-based small-ship dete...
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02/20/2023
Friend Recall in Online Games via Pre-training Edge Transformers
Friend recall is an important way to improve Daily Active Users (DAU) in...
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01/07/2023
Advancing 3D finger knuckle recognition via deep feature learning
Contactless 3D finger knuckle patterns have emerged as an effective biom...
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12/05/2022
Improving Few-Shot Performance of Language Models via Nearest Neighbor Calibration
Pre-trained language models (PLMs) have exhibited remarkable few-shot le...
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08/20/2022
A Review of Federated Learning in Energy Systems
With increasing concerns for data privacy and ownership, recent years ha...
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08/18/2022
Quantifying the Knowledge in a DNN to Explain Knowledge Distillation for Classification
Compared to traditional learning from scratch, knowledge distillation so...
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07/24/2022
Proving Common Mechanisms Shared by Twelve Methods of Boosting Adversarial Transferability
Although many methods have been proposed to enhance the transferability ...
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06/17/2022
Masked Autoencoders for Generic Event Boundary Detection CVPR'2022 Kinetics-GEBD Challenge
Generic Event Boundary Detection (GEBD) tasks aim at detecting generic, ...
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03/12/2022
GRAND+: Scalable Graph Random Neural Networks
Graph neural networks (GNNs) have been widely adopted for semi-supervise...
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02/16/2022
Flexible-Modal Face Anti-Spoofing: A Benchmark
Face anti-spoofing (FAS) plays a vital role in securing face recognition...
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01/14/2022
Reasoning Through Memorization: Nearest Neighbor Knowledge Graph Embeddings
Previous knowledge graph embedding approaches usually map entities to re...
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11/05/2021
A Unified Game-Theoretic Interpretation of Adversarial Robustness
This paper provides a unified view to explain different adversarial atta...
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07/31/2021
A Hypothesis for the Aesthetic Appreciation in Neural Networks
This paper proposes a hypothesis for the aesthetic appreciation that aes...
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06/21/2021
A Game-Theoretic Taxonomy of Visual Concepts in DNNs
In this paper, we rethink how a DNN encodes visual concepts of different...
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06/09/2021
Cellular Automata Simulation of Grain Growth of Powder Metallurgy Nickel-Based Superalloy
Primary γ' phase instead of carbides and borides plays an important role...
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04/17/2021
Abusing Cache Line Dirty States to Leak Information in Commercial Processors
Caches have been used to construct various types of covert and side chan...
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03/12/2021
Game-theoretic Understanding of Adversarially Learned Features
This paper aims to understand adversarial attacks and defense from a new...
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09/14/2020
Can Fine-tuning Pre-trained Models Lead to Perfect NLP? A Study of the Generalizability of Relation Extraction
Fine-tuning pre-trained models have achieved impressive performance on s...
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09/13/2020
DistilE: Distiling Knowledge Graph Embeddings for Faster and Cheaper Reasoning
Knowledge Graph Embedding (KGE) is a popular method for KG reasoning and...
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04/20/2020
S3Library: Automatically Eliminating C/C++ Buffer Overflow using Compatible Safer Libraries
Annex K of C11, bounds-checking interfaces, recently introduced a set of...
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03/07/2020
Explaining Knowledge Distillation by Quantifying the Knowledge
This paper presents a method to interpret the success of knowledge disti...
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02/29/2020
DangKiller: Eliminating Dangling Pointers Efficiently via Implicit Identifier
Use-After-Free vulnerabilities, allowing the attacker to access unintend...
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02/07/2020
SMA: Eliminate Memory Spatial Errors via Saturation Memory Access
Memory spatial error, i.e., buffer overflow, has been a well-known issue...
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10/09/2019
Learning High-order Structural and Attribute information by Knowledge Graph Attention Networks for Enhancing Knowledge Graph Embedding
The goal of representation learning of knowledge graph is to encode both...
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08/28/2019
Effective and Efficient Network Embedding Initialization via Graph Partitioning
Network embedding has been intensively studied in the literature and wid...
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08/22/2019
Coalesced TLB to Exploit Diverse Contiguity of Memory Mapping
The miss rate of TLB is crucial to the performance of address translatio...
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07/18/2018
An Attention-Based Approach for Single Image Super Resolution
The main challenge of single image super resolution (SISR) is the recove...
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11/30/2017
Properties on n-dimensional convolution for image deconvolution
Convolution system is linear and time invariant, and can describe the op...
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10/30/2013