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Zhiwei Zhao

8 accepted papers

2026

EchoGen: Cycle-Consistent Learning for Unified Layout-Image Generation and Understanding

AAAI 2026technical

In this work, we present EchoGen, a unified framework for layout-to-image generation and image grounding, capable of generating images with both accurate layout and high fidelity to the text description.(e.g., spatial relationship), and grounding the image robustly at the same time. We believe that

Cited by 0SourcePDFScholar
2025

CMGait: Enhancing Cross-Modality Gait Recognition between LiDAR and RGB through Contrastive Identity-consistent Feature Aggregation

ICASSP 2025accepted

Combination usage of LiDAR and RGB cameras for gait recognition can achieve cross space recognition and privacy protection. In addition, the widespread application of LiDAR cameras with 3D geometry information and the large amount of RGB gaits has led to the demand for cross-modality gait recognitio…

Cited by 0SourceScholar
2025

Training-free Open-Vocabulary Semantic Segmentation via Diverse Prototype Construction and Sub-region Matching

AAAI 2025technical

Open-vocabulary semantic segmentation (OVSS) aims to segment images of arbitrary categories specified by class labels. While previous approaches relied on extensive image-text pairs or dense semantic annotations, recent training-free methods attempted to overcome these limitations by constructing se…

Cited by 0SourcePDFScholar
2024

Exploiting Modality-Specific Features for Multi-Modal Manipulation Detection and Grounding

ICASSP 2024accepted

AI-synthesized text and images have gained significant attention, particularly due to the widespread dissemination of multi-modal manipulations on the internet, which has resulted in numerous negative impacts on society. Existing methods for multi-modal manipulation detection and grounding primarily…

Cited by 0SourceScholar
2024

Unifying Multi-Modal Uncertainty Modeling and Semantic Alignment for Text-to-Image Person Re-identification

AAAI 2024technical

Text-to-Image person re-identification (TI-ReID) aims to retrieve the images of target identity according to the given textual description. The existing methods in TI-ReID focus on aligning the visual and textual modalities through contrastive feature alignment or reconstructive masked language mode…

Cited by 14SourcePDFScholar
2023

Dual-Uncertainty Guided Curriculum Learning and Part-Aware Feature Refinement for Domain Adaptive Person Re-Identification

ICASSP 2023accepted

Unsupervised Domain Adaptative person re-identification (UDA ReID) aims to transfer the knowledge of pre-trained model from labeled source domain to unlabeled target domain. Although the current clustering-based methods have achieved promising success, they neglect the tolerance of the model to cope…

Cited by 0SourceScholar
2023

Evopose: A Recursive Transformer for 3D Human Pose Estimation with Kinematic Structure Priors

ICASSP 2023accepted

Transformer is popular in recent 3D human pose estimation, which utilizes long-term modeling to lift 2D keypoints into the 3D space. However, current transformer-based methods do not fully exploit the prior knowledge of the human skeleton provided by the kinematic structure. In this paper, we propos…

Cited by 0SourceScholar
2021

Joint Color-irrelevant Consistency Learning and Identity-aware Modality Adaptation for Visible-infrared Cross Modality Person Re-identification

AAAI 2021technical

Visible-infrared cross modality person re-identification (VI-ReID) is a core but challenging technology in the 24-hours intelligent surveillance system. How to eliminate the large modality gap lies in the heart of VI-ReID. Conventional methods mainly focus on directly aligning the heterogeneous moda…

Cited by 97SourcePDFScholar