Search Results for author: Antoni Chan

Found 6 papers, 0 papers with code

Improved Fine-Tuning by Better Leveraging Pre-Training Data

no code implementations24 Nov 2021 Ziquan Liu, Yi Xu, Yuanhong Xu, Qi Qian, Hao Li, Xiangyang Ji, Antoni Chan, Rong Jin

The generalization result of using pre-training data shows that the excess risk bound on a target task can be improved when the appropriate pre-training data is included in fine-tuning.

Image Classification Learning Theory

Modeling Noisy Annotations for Crowd Counting

no code implementations NeurIPS 2020 Jia Wan, Antoni Chan

The annotation noise in crowd counting is not modeled in traditional crowd counting algorithms based on crowd density maps.

Crowd Counting

Accelerating Monte Carlo Bayesian Inference via Approximating Predictive Uncertainty over the Simplex

no code implementations25 Sep 2019 Yufei Cui, Wuguannan Yao, Qiao Li, Antoni Chan, Chun Jason Xue

In this work, assuming that the exact posterior or a decent approximation is obtained, we propose a generic framework to approximate the output probability distribution induced by model posterior with a parameterized model and in an amortized fashion.

Adversarial Attack Bayesian Inference +1

Crowd Counting by Adaptively Fusing Predictions from an Image Pyramid

no code implementations16 May 2018 Di Kang, Antoni Chan

In this paper, in contrast to using filters of different sizes, we utilize an image pyramid to deal with scale variations.

Crowd Counting

Incorporating Side Information by Adaptive Convolution

no code implementations NeurIPS 2017 Di Kang, Debarun Dhar, Antoni Chan

For example, for crowd counting, the camera perspective (e. g., camera angle and height) gives a clue about the appearance and scale of people in the scene.

Crowd Counting Deblurring +1

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