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20232026
most citedOptimizing Camera Configurations for Multi-View Pedestrian Detection

2 citations · 4 across the 5 of their papers we have counts for

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cs.CV2026

MiniDog: Dog-Breed Text-to-image Flow Matching from Pretraining to Fine-Tuning on 4 Consumer GPUs

Reyhaneh Esmailizadeh, Xingjian Leng, Zhanhao Liang +1

We generally perceive that training text-to-image diffusion models requires heavy compute: it is true if we aim at a comprehensive frontier model. This understanding prevents peopl…

cs.CV2026

DiffusionBench: On Holistic Evaluation of Diffusion Transformers

Xingjian Leng, Jaskirat Singh, Zhanhao Liang +5

Diffusion transformer (DiT) research on image generation has converged to a single evaluation setup: class-conditional generation on ImageNet. While methods improve the FID and rel…

cs.CV2025

What matters for Representation Alignment: Global Information or Spatial Structure?

Jaskirat Singh, Xingjian Leng, Zongze Wu +4

Representation alignment (REPA) guides generative training by distilling representations from a strong, pretrained vision encoder to intermediate diffusion features. We investigate…

cs.CV2025

SimFlow: Simplified and End-to-End Training of Latent Normalizing Flows

Qinyu Zhao, Guangting Zheng, Tao Yang +4

Normalizing Flows (NFs) learn invertible mappings between the data and a Gaussian distribution. Prior works usually suffer from two limitations. First, they add random noise to tra…

cs.CV2025

REPA-E: Unlocking VAE for End-to-End Tuning with Latent Diffusion Transformers

Xingjian Leng, Jaskirat Singh, Yunzhong Hou +3

In this paper we tackle a fundamental question: "Can we train latent diffusion models together with the variational auto-encoder (VAE) tokenizer in an end-to-end manner?" Tradition…

cs.CV2025

DWIM: Towards Tool-aware Visual Reasoning via Discrepancy-aware Workflow Generation & Instruct-Masking Tuning

Fucai Ke, Vijay Kumar B G, Xingjian Leng +6

Visual reasoning (VR), which is crucial in many fields for enabling human-like visual understanding, remains highly challenging. Recently, compositional visual reasoning approaches…

cs.CV2023★ 2 cited

Optimizing Camera Configurations for Multi-View Pedestrian Detection

Yunzhong Hou, Xingjian Leng, Tom Gedeon +1

Jointly considering multiple camera views (multi-view) is very effective for pedestrian detection under occlusion. For such multi-view systems, it is critical to have well-designed…

cs.CV2023★ 2 cited

CIFAR-10-Warehouse: Broad and More Realistic Testbeds in Model Generalization Analysis

Xiaoxiao Sun, Xingjian Leng, Zijian Wang +3

Analyzing model performance in various unseen environments is a critical research problem in the machine learning community. To study this problem, it is important to construct a t…