Hai-Bao Chen — accepted AI-conference papers

2025

OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation

Jingjing Chang, Yixiao Fang, Peng Xing, Shuhan Wu, Wei Cheng, Rui Wang +3

NeurIPS 2025poster

Text-to-image (T2I) models have garnered significant attention for generating high-quality images aligned with text prompts. However, rapid T2I model advancements reveal limitations in early benchmarks, lacking comprehensive evaluations, especially for text rendering and style. Notably, recent state…

Cited by 0 Source ↗code ↗Scholar ↗

2022

Deeply Tensor Compressed Transformers for End-to-End Object Detection

Peining Zhen, Ziyang Gao, Tianshu Hou, Yuan Cheng, Hai-Bao Chen

AAAI 2022technical

DEtection TRansformer (DETR) is a recently proposed method that streamlines the detection pipeline and achieves competitive results against two-stage detectors such as Faster-RCNN. The DETR models get rid of complex anchor generation and post-processing procedures thereby making the detection pipeli…

Cited by 15 Source ↗PDF ↗Scholar ↗