Search Results for author: Jian Jia

Found 12 papers, 4 papers with code

ASR-enhanced Multimodal Representation Learning for Cross-Domain Product Retrieval

no code implementations6 Aug 2024 Ruixiang Zhao, Jian Jia, Yan Li, Xuehan Bai, Quan Chen, Han Li, Peng Jiang, Xirong Li

While Automatic Speech Recognition (ASR) text derived from the short or live-stream videos is readily accessible, how to de-noise the excessively noisy text for multimodal representation learning is mostly untouched.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +3

Knowledge Adaptation from Large Language Model to Recommendation for Practical Industrial Application

no code implementations7 May 2024 Jian Jia, Yipei Wang, Yan Li, Honggang Chen, Xuehan Bai, Zhaocheng Liu, Jian Liang, Quan Chen, Han Li, Peng Jiang, Kun Gai

Contemporary recommender systems predominantly rely on collaborative filtering techniques, employing ID-embedding to capture latent associations among users and items.

Collaborative Filtering Language Modelling +3

Beyond Appearance: a Semantic Controllable Self-Supervised Learning Framework for Human-Centric Visual Tasks

4 code implementations CVPR 2023 Weihua Chen, Xianzhe Xu, Jian Jia, Hao Luo, Yaohua Wang, Fan Wang, Rong Jin, Xiuyu Sun

Unlike the existing self-supervised learning methods, prior knowledge from human images is utilized in SOLIDER to build pseudo semantic labels and import more semantic information into the learned representation.

Human Parsing Pedestrian Attribute Recognition +6

InsPro: Propagating Instance Query and Proposal for Online Video Instance Segmentation

no code implementations5 Jan 2023 Fei He, Haoyang Zhang, Naiyu Gao, Jian Jia, Yanhu Shan, Xin Zhao, Kaiqi Huang

When using such a pair to predict an object instance on the current frame, not only the generated instance is automatically associated with its precursors on previous frames, but the model gets a good prior for predicting the same object.

Instance Segmentation Object +2

Learning Disentangled Label Representations for Multi-label Classification

no code implementations2 Dec 2022 Jian Jia, Fei He, Naiyu Gao, Xiaotang Chen, Kaiqi Huang

The specificity of the framework lies in a feature disentangle module, which contains learnable semantic queries and a Semantic Spatial Cross-Attention (SSCA) module.

Attribute Classification +6

QueryProp: Object Query Propagation for High-Performance Video Object Detection

no code implementations22 Jul 2022 Fei He, Naiyu Gao, Jian Jia, Xin Zhao, Kaiqi Huang

The proposed QueryProp contains two propagation strategies: 1) query propagation is performed from sparse key frames to dense non-key frames to reduce the redundant computation on non-key frames; 2) query propagation is performed from previous key frames to the current key frame to improve feature representation by temporal context modeling.

Object object-detection +2

PanopticDepth: A Unified Framework for Depth-aware Panoptic Segmentation

1 code implementation CVPR 2022 Naiyu Gao, Fei He, Jian Jia, Yanhu Shan, Haoyang Zhang, Xin Zhao, Kaiqi Huang

To overcome these limitations, we propose a unified framework for the DPS task by applying a dynamic convolution technique to both the PS and depth prediction tasks.

Depth Estimation Depth Prediction +2

Split Semantic Detection in Sandplay Images

no code implementations2 Mar 2022 Xiaokun Feng, Xiaotang Chen, Jian Jia, Kaiqi Huang

Sandplay image, as an important psychoanalysis carrier, is a visual scene constructed by the client selecting and placing sand objects (e. g., sand, river, human figures, animals, vegetation, buildings, etc.).

Attribute Dimensionality Reduction

Spatial and Semantic Consistency Regularizations for Pedestrian Attribute Recognition

no code implementations ICCV 2021 Jian Jia, Xiaotang Chen, Kaiqi Huang

To fully exploit inter-image relations and aggregate human prior in the model learning process, we construct a Spatial and Semantic Consistency (SSC) framework that consists of two complementary regularizations to achieve spatial and semantic consistency for each attribute.

Attribute Pedestrian Attribute Recognition

Rethinking of Pedestrian Attribute Recognition: A Reliable Evaluation under Zero-Shot Pedestrian Identity Setting

1 code implementation8 Jul 2021 Jian Jia, Houjing Huang, Xiaotang Chen, Kaiqi Huang

Second, based on the proposed definition, we expose the limitations of the existing datasets, which violate the academic norm and are inconsistent with the essential requirement of practical industry application.

Attribute Pedestrian Attribute Recognition

Rethinking of Pedestrian Attribute Recognition: Realistic Datasets with Efficient Method

2 code implementations25 May 2020 Jian Jia, Houjing Huang, Wenjie Yang, Xiaotang Chen, Kaiqi Huang

Despite various methods are proposed to make progress in pedestrian attribute recognition, a crucial problem on existing datasets is often neglected, namely, a large number of identical pedestrian identities in train and test set, which is not consistent with practical application.

Attribute Pedestrian Attribute Recognition

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