Kecheng Zheng

Orcid: 0000-0002-3450-400X

According to our database1, Kecheng Zheng authored at least 42 papers between 2018 and 2024.

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Bibliography

2024
Unleashing Knowledge Potential of Source Hypothesis for Source-Free Domain Adaptation.
IEEE Trans. Multim., 2024

DreamLIP: Language-Image Pre-training with Long Captions.
CoRR, 2024

Contextual AD Narration with Interleaved Multimodal Sequence.
CoRR, 2024

2023
TagAlign: Improving Vision-Language Alignment with Multi-Tag Classification.
CoRR, 2023

Learning Naturally Aggregated Appearance for Efficient 3D Editing.
CoRR, 2023

GenDeF: Learning Generative Deformation Field for Video Generation.
CoRR, 2023

Likelihood-Aware Semantic Alignment for Full-Spectrum Out-of-Distribution Detection.
CoRR, 2023

AutoStory: Generating Diverse Storytelling Images with Minimal Human Effort.
CoRR, 2023

Exploring Sparse MoE in GANs for Text-conditioned Image Synthesis.
CoRR, 2023

CoDeF: Content Deformation Fields for Temporally Consistent Video Processing.
CoRR, 2023

Cones 2: Customizable Image Synthesis with Multiple Subjects.
CoRR, 2023

CCSR-Net: Unfolding Coupled Convolutional Sparse Representation for Multi-focus Image Fusion.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

Benchmarking and Analyzing 3D-aware Image Synthesis with a Modularized Codebase.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Customizable Image Synthesis with Multiple Subjects.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

RLEG: Vision-Language Representation Learning with Diffusion-based Embedding Generation.
Proceedings of the International Conference on Machine Learning, 2023

Cones: Concept Neurons in Diffusion Models for Customized Generation.
Proceedings of the International Conference on Machine Learning, 2023

Regularized Mask Tuning: Uncovering Hidden Knowledge in Pre-trained Vision-Language Models.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Self-Organizing Pathway Expansion for Non-Exemplar Class-Incremental Learning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Uncertainty-Aware Optimal Transport for Semantically Coherent Out-of-Distribution Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Neural Dependencies Emerging from Learning Massive Categories.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
FAMLP: A Frequency-Aware MLP-Like Architecture For Domain Generalization.
CoRR, 2022

Uncertainty-Aware Hierarchical Refinement for Incremental Implicitly-Refined Classification.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Rank Diminishing in Deep Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Principled Knowledge Extrapolation with GANs.
Proceedings of the International Conference on Machine Learning, 2022

Unleashing Potential of Unsupervised Pre-Training with Intra-Identity Regularization for Person Re-Identification.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Temporal Complementarity-Guided Reinforcement Learning for Image-to-Video Person Re-Identification.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Cloth-Changing Person Re-identification from A Single Image with Gait Prediction and Regularization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Debiased Batch Normalization via Gaussian Process for Generalizable Person Re-identification.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Modality-Adaptive Mixup and Invariant Decomposition for RGB-Infrared Person Re-identification.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Unleashing the Potential of Unsupervised Pre-Training with Intra-Identity Regularization for Person Re-Identification.
CoRR, 2021

Calibrated Feature Decomposition for Generalizable Person Re-Identification.
CoRR, 2021

Semi-Supervised Domain Generalizable Person Re-Identification.
CoRR, 2021

Memory Enhanced Embedding Learning for Cross-Modal Video-Text Retrieval.
CoRR, 2021

Disentanglement-based Cross-Domain Feature Augmentation for Effective Unsupervised Domain Adaptive Person Re-identification.
CoRR, 2021

Pose-Guided Feature Learning with Knowledge Distillation for Occluded Person Re-Identification.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Group-aware Label Transfer for Domain Adaptive Person Re-identification.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Spatial-Temporal Correlation and Topology Learning for Person Re-Identification in Videos.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Exploiting Sample Uncertainty for Domain Adaptive Person Re-Identification.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Hierarchical Gumbel Attention Network for Text-based Person Search.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Stacked Convolutional Deep Encoding Network For Video-Text Retrieval.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

2019
Abstract Reasoning with Distracting Features.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018
LA-Net: Layout-Aware Dense Network for Monocular Depth Estimation.
Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018


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