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Lane detection (LD) is an essential component of autonomous driving systems, providing fundamental functionalities like adaptive cruise control and automated lane centering.
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Grad-cam: Visual explanations from deep networks via gradient-based localization. In ICCV
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Towards end-to-end lane detection: an instance segmentation approach. In IV
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Line-cnn: End-to-end traffic line detection with line proposal unit
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Perceptual-sensitive gan for generating adversarial patches. In AAAI
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A systematic review of perception system and simulators for autonomous vehicles research
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Formal scenario-based testing of autonomous vehicles: From simulation to the real world. In ITSC
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KonIQ-10k: An ecologically valid database for deep learning of blind image quality assessment
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Inter-region affinity distillation for road marking segmentation. In CVPR
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A keypoint-based global association network for lane detection. In CVPR
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BSNet: Lane Detection via Draw B-spline Curves Nearby
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Benchmarking Robustness of 3D Object Detection to Common Corruptions. In CVPR
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A Comprehensive Evaluation Framework for Deep Model Robustness
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Bangyan He, Xiaojun Jia, Siyuan Liang, Tianrui Lou, Yang Liu, and Xiaochun Cao. 2023a · 2023
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Efficient adversarial attacks for visual object tracking. In Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part XXVI 16
Siyuan Liang, Xingxing Wei, Siyuan Yao, and Xiaochun Cao. 2020 · 2020
Cited alongside, same era.
Heatmap-based vanishing point boosts lane detection
Yin-Bo Liu, Ming Zeng, and Qing-Hao Meng. 2020c · 2020
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Ultra fast structure-aware deep lane detection. In ECCV
Zequn Qin, Huanyu Wang, and Xi Li. 2020 · 2020
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The omniscape dataset. In 2020 IEEE International conference on robotics and automation (ICRA) . IEEE, 1603–1608
Ahmed Rida Sekkat, Yohan Dupuis, Pascal Vasseur, and Paul Honeine. 2020 · 2020
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Curvelane-nas: Unifying lane-sensitive architecture search and adaptive point blending. In ECCV
Hang Xu, Shaoju Wang, Xinyue Cai, Wei Zhang, Xiaodan Liang, and Zhenguo Li. 2020 · 2020
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End-to-end lane marker detection via row-wise classification. In CVPR Workshop
Seungwoo Yoo, Hee Seok Lee, Heesoo Myeong, Sungrack Yun, Hyoungwoo Park, Janghoon Cho, and Duck Hoon Kim. 2020 · 2020
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Bdd100k: A diverse driving dataset for heterogeneous multitask learning. In CVPR
Fisher Yu, Haofeng Chen, Xin Wang, Wenqi Xian, Yingying Chen, Fangchen Liu, Vashisht Madhavan, and Trevor Darrell. 2020 · 2020
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Exploring the Physical-World Adversarial Robustness of Vehicle Detection
Wei Jiang, Tianyuan Zhang, Shuangcheng Liu, Weiyu Ji, Zichao Zhang, and Gang Xiao. 2023 · 2023
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Recursive Video Lane Detection. In ICCV
Dongkwon Jin, Dahyun Kim, and Chang-Su Kim. 2023 · 2023
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Robo3d: Towards robust and reliable 3d perception against corruptions. In ICCV
Lingdong Kong, Youquan Liu, Xin Li, Runnan Chen, Wenwei Zhang, Jiawei Ren, Liang Pan, Kai Chen, and Ziwei Liu. 2023 · 2023
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Towards Benchmarking and Assessing Visual Naturalness of Physical World Adversarial Attacks. In CVPR
Simin Li, Shuning Zhang, Gujun Chen, Dong Wang, Pu Feng, Jiakai Wang, Aishan Liu, Xin Yi, and Xianglong Liu. 2023 · 2023
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Badclip: Dual-embedding guided backdoor attack on multimodal contrastive learning
Siyuan Liang, Mingli Zhu, Aishan Liu, Baoyuan Wu, Xiaochun Cao, and Ee-Chien Chang. 2023b · 2023
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Towards Defending Multiple Lp-norm Bounded Adversarial Perturbations via Gated Batch Normalization
Aishan Liu, Shiyu Tang, Xinyun Chen, Lei Huang, Haotong Qin, Xianglong Liu, and Dacheng Tao. 2023c · 2023
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Pre-trained trojan attacks for visual recognition
Aishan Liu, Xinwei Zhang, Yisong Xiao, Yuguang Zhou, Siyuan Liang, Jiakai Wang, Xianglong Liu, Xiaochun Cao, and Dacheng Tao. 2023e · 2023
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Improving adversarial transferability by stable diffusion
Jiayang Liu, Siyu Zhu, Siyuan Liang, Jie Zhang, Han Fang, Weiming Zhang, and Ee-Chien Chang. 2023f · 2023
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Does Few-shot Learning Suffer from Backdoor Attacks?
Xinwei Liu, Xiaojun Jia, Jindong Gu, Yuan Xun, Siyuan Liang, and Xiaochun Cao. 2023b · 2023
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Improving robust fairness via balance adversarial training. In Proceedings of the AAAI Conference on Artificial Intelligence
Chunyu Sun, Chenye Xu, Chengyuan Yao, Siyuan Liang, Yichao Wu, Ding Liang, Xianglong Liu, and Aishan Liu. 2023 · 2023
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Diversifying the High-level Features for better Adversarial Transferability
Zhiyuan Wang, Zeliang Zhang, Siyuan Liang, and Xiaosen Wang. 2023 · 2023
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RobustMQ: benchmarking robustness of quantized models
Yisong Xiao, Aishan Liu, Tianyuan Zhang, Haotong Qin, Jinyang Guo, and Xianglong Liu. 2023a · 2023
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Benchmarking the robustness of quantized models
Yisong Xiao, Tianyuan Zhang, Shunchang Liu, and Haotong Qin. 2023b · 2023
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Benchmarking the physical-world adversarial robustness of vehicle detection
Tianyuan Zhang, Yisong Xiao, Xiaoya Zhang, Hao Li, and Lu Wang. 2023 · 2023
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Semantic Mirror Jailbreak: Genetic Algorithm Based Jailbreak Prompts Against Open-source LLMs
Xiaoxia Li, Siyuan Liang, Jiyi Zhang, Han Fang, Aishan Liu, and Ee-Chien Chang. 2024 · 2024
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Poisoned forgery face: Towards backdoor attacks on face forgery detection
Jiawei Liang, Siyuan Liang, Aishan Liu, Xiaojun Jia, Junhao Kuang, and Xiaochun Cao. 2024a · 2024
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VL-Trojan: Multimodal Instruction Backdoor Attacks against Autoregressive Visual Language Models
Jiawei Liang, Siyuan Liang, Man Luo, Aishan Liu, Dongchen Han, Ee-Chien Chang, and Xiaochun Cao. 2024b · 2024
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Siyuan Liang, Kuanrong Liu, Jiajun Gong, Jiawei Liang, Yuan Xun, Ee-Chien Chang, and Xiaochun Cao. 2024c · 2024
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Hide in Thicket: Generating Imperceptible and Rational Adversarial Perturbations on 3D Point Clouds
Tianrui Lou, Xiaojun Jia, Jindong Gu, Li Liu, Siyuan Liang, Bangyan He, and Xiaochun Cao. 2024 · 2024
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Attack End-to-End Autonomous Driving through Module-Wise Noise
Lu Wang, Tianyuan Zhang, Yikai Han, Muyang Fang, Ting Jin, and Jiaqi Kang. 2024 · 2024
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Towards Robust Physical-world Backdoor Attacks on Lane Detection
Xinwei Zhang, Aishan Liu, Tianyuan Zhang, Siyuan Liang, and Xianglong Liu. 2024a · 2024
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Enhancing the Transferability of Adversarial Attacks with Stealth Preservation
Xinwei Zhang, Tianyuan Zhang, Yitong Zhang, and Shuangcheng Liu. 2024b · 2024
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