Search Results for author: Alex Kot

Found 8 papers, 3 papers with code

Splitting vs. Merging: Mining Object Regions with Discrepancy and Intersection Loss for Weakly Supervised Semantic Segmentation

no code implementations ECCV 2020 Tianyi Zhang, Guosheng Lin, Weide Liu, Jianfei Cai, Alex Kot

Finally, by training the segmentation model with the masks generated by our Splitting vs Merging strategy, we achieve the state-of-the-art weakly-supervised segmentation results on the Pascal VOC 2012 benchmark.

Weakly supervised segmentation Weakly-Supervised Semantic Segmentation

Enhancing Low-Light Images in Real World via Cross-Image Disentanglement

no code implementations10 Jan 2022 Lanqing Guo, Renjie Wan, Wenhan Yang, Alex Kot, Bihan Wen

Images captured in the low-light condition suffer from low visibility and various imaging artifacts, e. g., real noise.

Disentanglement Low-Light Image Enhancement

Towards Efficiently Evaluating the Robustness of Deep Neural Networks in IoT Systems: A GAN-based Method

no code implementations19 Nov 2021 Tao Bai, Jun Zhao, Jinlin Zhu, Shoudong Han, Jiefeng Chen, Bo Li, Alex Kot

Through extensive experiments, AI-GAN achieves high attack success rates, outperforming existing methods, and reduces generation time significantly.

Benchmarking the Robustness of Spatial-Temporal Models Against Corruptions

1 code implementation13 Oct 2021 Chenyu Yi, Siyuan Yang, Haoliang Li, Yap-Peng Tan, Alex Kot

The state-of-the-art deep neural networks are vulnerable to common corruptions (e. g., input data degradations, distortions, and disturbances caused by weather changes, system error, and processing).

Video Understanding

Feature Distillation With Guided Adversarial Contrastive Learning

no code implementations21 Sep 2020 Tao Bai, Jinnan Chen, Jun Zhao, Bihan Wen, Xudong Jiang, Alex Kot

In this paper, we propose a novel approach called Guided Adversarial Contrastive Distillation (GACD), to effectively transfer adversarial robustness from teacher to student with features.

Adversarial Robustness Contrastive Learning

Multi-Camera Trajectory Forecasting: Pedestrian Trajectory Prediction in a Network of Cameras

1 code implementation1 May 2020 Olly Styles, Tanaya Guha, Victor Sanchez, Alex Kot

To facilitate research in this new area, we release the Warwick-NTU Multi-camera Forecasting Database (WNMF), a unique dataset of multi-camera pedestrian trajectories from a network of 15 synchronized cameras.

Pedestrian Trajectory Prediction Trajectory Forecasting

AI-GAN: Attack-Inspired Generation of Adversarial Examples

1 code implementation6 Feb 2020 Tao Bai, Jun Zhao, Jinlin Zhu, Shoudong Han, Jiefeng Chen, Bo Li, Alex Kot

Deep neural networks (DNNs) are vulnerable to adversarial examples, which are crafted by adding imperceptible perturbations to inputs.

Cannot find the paper you are looking for? You can Submit a new open access paper.