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08/21/2023
Frequency Compensated Diffusion Model for Real-scene Dehazing
Due to distribution shift, deep learning based methods for image dehazin...
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08/02/2023
Evaluating Instruction-Tuned Large Language Models on Code Comprehension and Generation
In this work, we evaluate 10 open-source instructed LLMs on four represe...
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05/07/2023
No More Manual Tests? Evaluating and Improving ChatGPT for Unit Test Generation
Unit testing is essential in detecting bugs in functionally-discrete pro...
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12/16/2022
SE Factual Knowledge in Frozen Giant Code Model: A Study on FQN and its Retrieval
Pre-trained giant code models (PCMs) start coming into the developers' d...
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09/14/2022
Learning to Evaluate Performance of Multi-modal Semantic Localization
Semantic localization (SeLo) refers to the task of obtaining the most re...
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08/13/2022
Bidirectional Feature Globalization for Few-shot Semantic Segmentation of 3D Point Cloud Scenes
Few-shot segmentation of point cloud remains a challenging task, as ther...
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08/10/2022
Prompt-tuned Code Language Model as a Neural Knowledge Base for Type Inference in Statically-Typed Partial Code
Partial code usually involves non-fully-qualified type names (non-FQNs) ...
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06/26/2022
1+1>2: Programming Know-What and Know-How Knowledge Fusion, Semantic Enrichment and Coherent Application
Software programming requires both API reference (know-what) knowledge a...
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04/21/2022
Exploring a Fine-Grained Multiscale Method for Cross-Modal Remote Sensing Image Retrieval
Remote sensing (RS) cross-modal text-image retrieval has attracted exten...
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04/21/2022
Remote Sensing Cross-Modal Text-Image Retrieval Based on Global and Local Information
Cross-modal remote sensing text-image retrieval (RSCTIR) has recently be...
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08/20/2021
Pixel Contrastive-Consistent Semi-Supervised Semantic Segmentation
We present a novel semi-supervised semantic segmentation method which jo...
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12/09/2020