6 citations · 23 across the 11 of their papers we have counts for
12 papers
Training with Product Digital Twins for AutoRetail Checkout
Yue Yao, Xinyu Tian, Zheng Tang +4
Automating the checkout process is important in smart retail, where users effortlessly pass products by hand through a camera, triggering automatic product detection, tracking, and…
The 7th AI City Challenge
Milind Naphade, Shuo Wang, David C. Anastasiu +17
The AI City Challenge's seventh edition emphasizes two domains at the intersection of computer vision and artificial intelligence - retail business and Intelligent Traffic Systems…
A Bag-of-Prototypes Representation for Dataset-Level Applications
Weijie Tu, Weijian Deng, Tom Gedeon +1
This work investigates dataset vectorization for two dataset-level tasks: assessing training set suitability and test set difficulty. The former measures how suitable a training se…
Unsupervised Evaluation of Out-of-distribution Detection: A Data-centric Perspective
Yuhang Zhang, Weihong Deng, Liang Zheng
Out-of-distribution (OOD) detection methods assume that they have test ground truths, i.e., whether individual test samples are in-distribution (IND) or OOD. However, in the real w…
Adaptive Calibrator Ensemble for Model Calibration under Distribution Shift
Yuli Zou, Weijian Deng, Liang Zheng
Model calibration usually requires optimizing some parameters (e.g., temperature) w.r.t an objective function (e.g., negative log-likelihood). In this paper, we report a plain, imp…
Confidence and Dispersity Speak: Characterising Prediction Matrix for Unsupervised Accuracy Estimation
Weijian Deng, Yumin Suh, Stephen Gould +1
This work aims to assess how well a model performs under distribution shifts without using labels. While recent methods study prediction confidence, this work reports prediction di…
CircNet: Meshing 3D Point Clouds with Circumcenter Detection
Huan Lei, Ruitao Leng, Liang Zheng +1
Reconstructing 3D point clouds into triangle meshes is a key problem in computational geometry and surface reconstruction. Point cloud triangulation solves this problem by providin…
High-Fidelity Guided Image Synthesis with Latent Diffusion Models
Jaskirat Singh, Stephen Gould, Liang Zheng
Controllable image synthesis with user scribbles has gained huge public interest with the recent advent of text-conditioned latent diffusion models. The user scribbles control the…
Learning to Structure an Image with Few Colors and Beyond
Yunzhong Hou, Liang Zheng, Stephen Gould
Color and structure are the two pillars that combine to give an image its meaning. Interested in critical structures for neural network recognition, we isolate the influence of col…
On the Strong Correlation Between Model Invariance and Generalization
Weijian Deng, Stephen Gould, Liang Zheng
Generalization and invariance are two essential properties of any machine learning model. Generalization captures a model's ability to classify unseen data while invariance measure…
Invertible Attention
Jiajun Zha, Yiran Zhong, Jing Zhang +2
Attention has been proved to be an efficient mechanism to capture long-range dependencies. However, so far it has not been deployed in invertible networks. This is due to the fact…
Positive Sample Propagation along the Audio-Visual Event Line
Jinxing Zhou, Liang Zheng, Yiran Zhong +2
Visual and audio signals often coexist in natural environments, forming audio-visual events (AVEs). Given a video, we aim to localize video segments containing an AVE and identify…