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Jiong WANG

7 accepted papers

2025

Improving Prompt Generalization for Cross-prompt Essay Trait Scoring from the Scoring-invariance Perspective

EMNLP 2025

Cross-prompt trait scoring task aims to learn generalizable scoring capabilities from source- prompt data, enabling automatic scoring across multiple dimensions on unseen essays. Existing research on cross-prompt trait essay scoring primarily focuses on improving model generalization by obtaining pr

Cited by 0SourcePDFScholar
2024

FreeMan: Towards Benchmarking 3D Human Pose Estimation under Real-World Conditions

CVPR 2024poster

Estimating the 3D structure of the human body from nat- ural scenes is a fundamental aspect of visual perception. 3D human pose estimation is a vital step in advancing fields like AIGC and human-robot interaction serving as a crucial tech- nique for understanding and interacting with human actions i…

2023

LAMM: Language-Assisted Multi-Modal Instruction-Tuning Dataset, Framework, and Benchmark

NeurIPS 2023poster

Large language models have emerged as a promising approach towards achieving general-purpose AI agents. The thriving open-source LLM community has greatly accelerated the development of agents that support human-machine dialogue interaction through natural language processing. However, human interac…

2023

Open-Vocabulary Object Detection With an Open Corpus

ICCV 2023poster

Existing open vocabulary object detection (OVD) works expand the object detector toward open categories by replacing the classifier with the category text embeddings and optimizing the region-text alignment on data of the base categories. However, both the class-agnostic proposal generator and the c…

Cited by 22PDFScholar
2022

Weakly Supervised Object Localization via Transformer with Implicit Spatial Calibration

ECCV 2022poster

"Weakly Supervised Object Localization (WSOL), which aims to localize objects by only using image-level labels, has attracted much attention because of its low annotation cost in real applications. Recent studies leverage the advantage of self-attention in visual Transformer for long-range dependenc…

2020

Learning a Reinforced Agent for Flexible Exposure Bracketing Selection

CVPR 2020poster

Automatically selecting exposure bracketing (images exposed differently) is important to obtain a high dynamic range image by using multi-exposure fusion. Unlike previous methods that have many restrictions such as requiring camera response function, sensor noise model, and a stream of preview image…

Cited by 24PDFcodeScholar