Search Results for author: Jiabo Huang

Found 13 papers, 2 papers with code

UniTSyn: A Large-Scale Dataset Capable of Enhancing the Prowess of Large Language Models for Program Testing

no code implementations4 Feb 2024 Yifeng He, Jiabo Huang, Yuyang Rong, Yiwen Guo, Ethan Wang, Hao Chen

The remarkable capability of large language models (LLMs) in generating high-quality code has drawn increasing attention in the software testing community.


Generative Video Diffusion for Unseen Cross-Domain Video Moment Retrieval

no code implementations24 Jan 2024 Dezhao Luo, Shaogang Gong, Jiabo Huang, Hailin Jin, Yang Liu

We address two problems in video editing for optimising unseen domain VMR: (1) generation of high-quality simulation videos of different moments with subtle distinctions, (2) selection of simulation videos that complement existing source training videos without introducing harmful noise or unnecessary repetitions.

Moment Retrieval Retrieval +2

Code Representation Pre-training with Complements from Program Executions

no code implementations4 Sep 2023 Jiabo Huang, Jianyu Zhao, Yuyang Rong, Yiwen Guo, Yifeng He, Hao Chen

The test cases are obtained with the assistance of a customized fuzzer and are only required during pre-training.

Code Search Language Modelling

Towards Generalisable Video Moment Retrieval: Visual-Dynamic Injection to Image-Text Pre-Training

no code implementations CVPR 2023 Dezhao Luo, Jiabo Huang, Shaogang Gong, Hailin Jin, Yang Liu

The correlation between the vision and text is essential for video moment retrieval (VMR), however, existing methods heavily rely on separate pre-training feature extractors for visual and textual understanding.

Moment Retrieval Retrieval

Video Activity Localisation with Uncertainties in Temporal Boundary

no code implementations26 Jun 2022 Jiabo Huang, Hailin Jin, Shaogang Gong, Yang Liu

Such uncertainties in temporal labelling are currently ignored in model training, resulting in learning mis-matched video-text correlation with poor generalisation in test.

Feature-Distribution Perturbation and Calibration for Generalized Person ReID

no code implementations23 May 2022 Qilei Li, Jiabo Huang, Jian Hu, Shaogang Gong

In this work, we propose a Feature-Distribution Perturbation and Calibration (PECA) method to derive generic feature representations for person ReID, which is not only discriminative across cameras but also agnostic and deployable to arbitrary unseen target domains.

Person Re-Identification

Local-Global Associative Frame Assemble in Video Re-ID

no code implementations22 Oct 2021 Qilei Li, Jiabo Huang, Shaogang Gong

In this work, we explore jointly both local alignments and global correlations with further consideration of their mutual promotion/reinforcement so to better assemble complementary discriminative Re-ID information within all the relevant frames in video tracklets.

Cross-Sentence Temporal and Semantic Relations in Video Activity Localisation

no code implementations ICCV 2021 Jiabo Huang, Yang Liu, Shaogang Gong, Hailin Jin

Video activity localisation has recently attained increasing attention due to its practical values in automatically localising the most salient visual segments corresponding to their language descriptions (sentences) from untrimmed and unstructured videos.


Deep Clustering by Semantic Contrastive Learning

no code implementations3 Mar 2021 Jiabo Huang, Shaogang Gong

Whilst contrastive learning has recently brought notable benefits to deep clustering of unlabelled images by learning sample-specific discriminative visual features, its potential for explicitly inferring class decision boundaries is less well understood.

Clustering Contrastive Learning +3

Unsupervised Transfer Learning with Self-Supervised Remedy

no code implementations8 Jun 2020 Jiabo Huang, Shaogang Gong

In this work, we address this problem by transfer clustering that aims to learn a discriminative latent space of the unlabelled target data in a novel domain by knowledge transfer from labelled related domains.

Clustering Domain Adaptation +5

Deep Semantic Clustering by Partition Confidence Maximisation

1 code implementation CVPR 2020 Jiabo Huang, Shaogang Gong, Xiatian Zhu

In this work, we propose to solve this problem by learning the most confident clustering solution from all the possible separations, based on the observation that assigning samples from the same semantic categories into different clusters will reduce both the intra-cluster compactness and inter-cluster diversity, i. e. lower partition confidence.

Clustering Deep Clustering

Batch Face Alignment using a Low-rank GAN

no code implementations21 Oct 2019 Jiabo Huang, Xiaohua Xie, Wei-Shi Zheng

This paper studies the problem of aligning a set of face images of the same individual into a normalized image while removing the outliers like partial occlusion, extreme facial expression as well as significant illumination variation.

Face Alignment Generative Adversarial Network

Unsupervised Deep Learning by Neighbourhood Discovery

1 code implementation25 Apr 2019 Jiabo Huang, Qi Dong, Shaogang Gong, Xiatian Zhu

Deep convolutional neural networks (CNNs) have demonstrated remarkable success in computer vision by supervisedly learning strong visual feature representations.

Image Classification

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