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09/16/2023
RingMo-lite: A Remote Sensing Multi-task Lightweight Network with CNN-Transformer Hybrid Framework
In recent years, remote sensing (RS) vision foundation models such as Ri...
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09/07/2023
InstructDiffusion: A Generalist Modeling Interface for Vision Tasks
We present InstructDiffusion, a unifying and generic framework for align...
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08/19/2023
Cupid: Leveraging ChatGPT for More Accurate Duplicate Bug Report Detection
Duplicate bug report detection (DBRD) is a long-standing challenge in bo...
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06/11/2023
Mimicking the Thinking Process for Emotion Recognition in Conversation with Prompts and Paraphrasing
Emotion recognition in conversation, which aims to predict the emotion f...
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04/18/2023
A Deep Learning Framework for Traffic Data Imputation Considering Spatiotemporal Dependencies
Spatiotemporal (ST) data collected by sensors can be represented as mult...
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04/11/2023
APISENS- Sentiment Scoring Tool for APIs with Crowd-Knowledge
Utilizing pre-existing software artifacts, such as libraries and Applica...
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04/05/2023
APIHarvest: Harvesting API Information from Various Online Sources
Using APIs to develop software applications is the norm. APIs help devel...
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03/28/2023
XAIR: A Framework of Explainable AI in Augmented Reality
Explainable AI (XAI) has established itself as an important component of...
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03/24/2023
Make-It-3D: High-Fidelity 3D Creation from A Single Image with Diffusion Prior
In this work, we investigate the problem of creating high-fidelity 3D co...
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03/22/2023
PICASO: Enhancing API Recommendations with Relevant Stack Overflow Posts
While having options could be liberating, too many options could lead to...
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03/17/2023
IRGen: Generative Modeling for Image Retrieval
While generative modeling has been ubiquitous in natural language proces...
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03/13/2023
Representation Learning for Stack Overflow Posts: How Far are We?
The tremendous success of Stack Overflow has accumulated an extensive co...
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12/12/2022
CLIP Itself is a Strong Fine-tuner: Achieving 85.7 Accuracy with ViT-B and ViT-L on ImageNet
Recent studies have shown that CLIP has achieved remarkable success in p...
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12/01/2022
Duplicate Bug Report Detection: How Far Are We?
Many Duplicate Bug Report Detection (DBRD) techniques have been proposed...
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11/23/2022
Paint by Example: Exemplar-based Image Editing with Diffusion Models
Language-guided image editing has achieved great success recently. In th...
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09/12/2022
Explicitly Controllable 3D-Aware Portrait Generation
In contrast to the traditional avatar creation pipeline which is a costl...
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08/25/2022
MaskCLIP: Masked Self-Distillation Advances Contrastive Language-Image Pretraining
This paper presents a simple yet effective framework MaskCLIP, which inc...
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07/14/2022
Bootstrapped Masked Autoencoders for Vision BERT Pretraining
We propose bootstrapped masked autoencoders (BootMAE), a new approach fo...
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06/23/2022
AutoPRTitle: A Tool for Automatic Pull Request Title Generation
With the rise of the pull request mechanism in software development, the...
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06/22/2022
iTiger: An Automatic Issue Title Generation Tool
In both commercial and open-source software, bug reports or issues are u...
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06/21/2022
Automatic Pull Request Title Generation
Pull Requests (PRs) are a mechanism on modern collaborative coding platf...
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04/29/2022
Tail Adversarial Stability for Regularly Varying Linear Processes and their Extensions
The recently introduced notion of tail adversarial stability has been pr...
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04/07/2022
MC-UNet Multi-module Concatenation based on U-shape Network for Retinal Blood Vessels Segmentation
Accurate segmentation of the blood vessels of the retina is an important...
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03/29/2022
Semi-Supervised Image-to-Image Translation using Latent Space Mapping
Recent image-to-image translation works have been transferred from super...
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03/02/2022
Protecting Celebrities with Identity Consistency Transformer
In this work we propose Identity Consistency Transformer, a novel face f...
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12/06/2021
General Facial Representation Learning in a Visual-Linguistic Manner
How to learn a universal facial representation that boosts all face anal...
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11/24/2021
PeCo: Perceptual Codebook for BERT Pre-training of Vision Transformers
This paper explores a better codebook for BERT pre-training of vision tr...
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06/01/2021
Robust Mutual Learning for Semi-supervised Semantic Segmentation
Recent semi-supervised learning (SSL) methods are commonly based on pseu...
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01/26/2021
Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic Segmentation
Self-training is a competitive approach in domain adaptive segmentation,...
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12/03/2020
Full-Resolution Correspondence Learning for Image Translation
We present the full-resolution correspondence learning for cross-domain ...
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01/10/2020
Probabilistic K-means Clustering via Nonlinear Programming
K-means is a classical clustering algorithm with wide applications. Howe...
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12/31/2019
Face X-ray for More General Face Forgery Detection
In this paper we propose a novel image representation called face X-ray ...
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07/22/2019
Factor Analysis for High-Dimensional Time Series with Change Point
We consider change-point latent factor models for high-dimensional time ...
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02/27/2019
Multiresolution Graph Attention Networks for Relevance Matching
A large number of deep learning models have been proposed for the text m...
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02/02/2019
Collaborative Quantization for Cross-Modal Similarity Search
Cross-modal similarity search is a problem about designing a search syst...
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02/02/2019
Supervised Quantization for Similarity Search
In this paper, we address the problem of searching for semantically simi...
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01/23/2019
Hierarchical Reinforcement Learning for Multi-agent MOBA Game
Although deep reinforcement learning has achieved great success recently...
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04/17/2018
IGCV2: Interleaved Structured Sparse Convolutional Neural Networks
In this paper, we study the problem of designing efficient convolutional...
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03/01/2018
Matching Natural Language Sentences with Hierarchical Sentence Factorization
Semantic matching of natural language sentences or identifying the relat...
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02/21/2018
Matching Long Text Documents via Graph Convolutional Networks
Identifying the relationship between two text objects is a core research...
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12/04/2017
Composite Quantization
This paper studies the compact coding approach to approximate nearest ne...
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10/03/2017
A concatenating framework of shortcut convolutional neural networks
It is well accepted that convolutional neural networks play an important...
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07/10/2017
Interleaved Group Convolutions for Deep Neural Networks
In this paper, we present a simple and modularized neural network archit...
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06/01/2016
A Survey on Learning to Hash
Nearest neighbor search is a problem of finding the data points from the...
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05/25/2016
Deeply-Fused Nets
In this paper, we present a novel deep learning approach, deeply-fused n...
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10/29/2014