1 code implementation • 6 Mar 2024 • Zhijie Wang, Yuheng Huang, Da Song, Lei Ma, Tianyi Zhang
However, prompting remains challenging for novice users due to the complexity of the stable diffusion model and the non-trivial efforts required for iteratively editing and refining the text prompts.
no code implementations • 16 Jul 2023 • Yuheng Huang, Jiayang Song, Zhijie Wang, Shengming Zhao, Huaming Chen, Felix Juefei-Xu, Lei Ma
In particular, we experiment with twelve uncertainty estimation methods and four LLMs on four prominent natural language processing (NLP) tasks to investigate to what extent uncertainty estimation techniques could help characterize the prediction risks of LLMs.
no code implementations • 6 Jun 2023 • Xinyu Gao, Zhijie Wang, Yang Feng, Lei Ma, Zhenyu Chen, Baowen Xu
Multi-Sensor Fusion (MSF) based perception systems have been the foundation in supporting many industrial applications and domains, such as self-driving cars, robotic arms, and unmanned aerial vehicles.
1 code implementation • 2 Jun 2023 • Bonan Kou, Shengmai Chen, Zhijie Wang, Lei Ma, Tianyi Zhang
Large Language Models (LLMs) have recently been widely used for code generation.
1 code implementation • 29 May 2023 • Tao Feng, Jie Zhang, Peizheng Wang, Zhijie Wang
The expenses involved in training state-of-the-art deep hashing retrieval models have witnessed an increase due to the adoption of more sophisticated models and large-scale datasets.
1 code implementation • 2 Mar 2023 • Da Song, Zhijie Wang, Yuheng Huang, Lei Ma, Tianyi Zhang
In this work, we propose DeepLens, an interactive system that helps users detect and explore OOD issues in massive text corpora.
1 code implementation • 2 Mar 2023 • Zhijie Wang, Yuheng Huang, Da Song, Lei Ma, Tianyi Zhang
The core of DeepSeer is a state abstraction method that bundles semantically similar hidden states in an RNN model and abstracts the model as a finite state machine.
no code implementations • 13 Dec 2022 • Zhijie Wang, Yuheng Huang, Lei Ma, Haruki Yokoyama, Susumu Tokumoto, Kazuki Munakata
More importantly, it also lacks systematic investigation on how to perform the risk assessment for AI systems from unit level to system level.
1 code implementation • 3 Dec 2022 • Yinghua Li, Xueqi Dang, Haoye Tian, Tiezhu Sun, Zhijie Wang, Lei Ma, Jacques Klein, Tegawende F. Bissyande
In this paper, we conduct the most extensive empirical study on 56, 682 published AI apps from three perspectives: dataset characteristics, development issues, and user feedback and privacy.
no code implementations • 12 Oct 2022 • Shuangzhi Li, Zhijie Wang, Felix Juefei-Xu, Qing Guo, Xingyu Li, Lei Ma
Then, for the first attempt, we construct a benchmark based on the physical-aware common corruptions for point cloud detectors, which contains a total of 1, 122, 150 examples covering 7, 481 scenes, 25 common corruption types, and 6 severities.
2 code implementations • 30 Jun 2022 • Zhijie Wang, Masanori Suganuma, Takayuki Okatani
Due to its high annotation cost, researchers have developed many UDA methods for semantic segmentation, which assume no labeled sample is available in the target domain.
no code implementations • 26 Nov 2021 • Hua Qi, Zhijie Wang, Qing Guo, Jianlang Chen, Felix Juefei-Xu, Lei Ma, Jianjun Zhao
In this work, as the first attempt, we initiate to repair DNNs by jointly optimizing the architecture and weights at a higher (i. e., block) level.
no code implementations • 14 Sep 2021 • Zhijie Wang, Xing Liu, Masanori Suganuma, Takayuki Okatani
To cope with this, we propose a method that applies adversarial training to align two feature distributions in the target domain.
Ranked #1 on Domain Adaptation on Synscapes-to-Cityscapes
no code implementations • 14 Sep 2021 • Zhijie Wang, Masanori Suganuma, Takayuki Okatani
This study is concerned with few-shot segmentation, i. e., segmenting the region of an unseen object class in a query image, given support image(s) of its instances.
no code implementations • 28 Jul 2021 • Qing Guo, Zhijie Wang, Felix Juefei-Xu, Di Lin, Lei Ma, Wei Feng, Yang Liu
3D point cloud completion is very challenging because it heavily relies on the accurate understanding of the complex 3D shapes (e. g., high-curvature, concave/convex, and hollowed-out 3D shapes) and the unknown & diverse patterns of the partially available point clouds.
no code implementations • 25 Jul 2019 • Xiao Wang, Zhijie Wang, Yolande M. Pengetnze, Barry S. Lachman, Vikas Chowdhry
Pediatric asthma is the most prevalent chronic childhood illness, afflicting about 6. 2 million children in the United States.
no code implementations • CVPR 2015 • Xiantong Zhen, Zhijie Wang, Mengyang Yu, Shuo Li
In this paper, we propose a novel supervised descriptor learning (SDL) algorithm to establish a discriminative and compact feature representation for multi-output regression.