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Zengbin Wang

4 accepted papers

2026

Everything in Its Place: Benchmarking Spatial Intelligence of Text-to-Image Models

ICLR 2026poster

Text-to-image (T2I) models have achieved remarkable success in generating high-fidelity images, but they often fail in handling complex spatial relationships, e.g., spatial perception, reasoning, or interaction. These critical aspects are largely overlooked by current benchmarks due to their short o…

Cited by 0SourcecodeScholar
2025

Gait-X: Exploring X modality for Generalized Gait Recognition

ICCV 2025poster

Modality exploration has been repeatedly mentioned in gait recognition, evolving from silhouette to parsing, mesh, point clouds, etc. These latest modalities agree that silhouette is less affected by background and clothing noises, but argue it loses too much valuable discriminative information. The…

Cited by 0SourcePDFScholar
2025

OpenAnimals: Revisiting Person Re-Identification for Animals Towards Better Generalization

ICCV 2025poster

This paper addresses the challenge of animal re-identification, an emerging field that shares similarities with person re-identification but presents unique complexities due to the diverse species, environments and poses. To facilitate research in this domain, we introduce OpenAnimals, a flexible an…

2024

QAGait: Revisit Gait Recognition from a Quality Perspective

AAAI 2024technical

Gait recognition is a promising biometric method that aims to identify pedestrians from their unique walking patterns. Silhouette modality, renowned for its easy acquisition, simple structure, sparse representation, and convenient modeling, has been widely employed in controlled in-the-lab research.…