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Wenqian Liu
Wenqian Liu
Inria CHROMA
Zweryfikowany adres z inria.fr
Tytuł
Cytowane przez
Cytowane przez
Rok
Towards visually explaining variational autoencoders
W Liu, R Li, M Zheng, S Karanam, Z Wu, B Bhanu, RJ Radke, O Camps
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
2852020
DukeMTMC4ReID: A large-scale multi-camera person re-identification dataset
M Gou, S Karanam, W Liu, O Camps, RJ Radke
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
1262017
Multi-camera multi-object tracking
W Liu, O Camps, M Sznaier
arXiv preprint arXiv:1709.07065, 2017
522017
Dyan: A dynamical atoms-based network for video prediction
W Liu, A Sharma, O Camps, M Sznaier
Proceedings of the European Conference on Computer Vision (ECCV), 170-185, 2018
392018
Towards visually explaining variational autoencoders. In 2020 IEEE
W Liu, R Li, M Zheng, S Karanam, Z Wu, B Bhanu, RJ Radke, OI Camps
CVF Conference on Computer Vision and Pattern Recognition, CVPR, 13-19, 2020
162020
TransFuseGrid: Transformer-based Lidar-RGB fusion for semantic grid prediction
G Salazar-Gomez, D Sierra-Gonzalez, M Diaz-Zapata, A Paigwar, W Liu, ...
2022 17th International Conference on Control, Automation, Robotics and …, 2022
82022
Unsupervised Approaches for Out-Of-Distribution Dermoscopic Lesion Detection
M Torop, S Ghimire, W Liu, DH Brooks, O Camps, M Rajadhyaksha, J Dy, ...
arXiv preprint arXiv:2111.04807, 2021
22021
TLCFuse: Temporal Multi-Modality Fusion Towards Occlusion-Aware Semantic Segmentation
G Salazar-Gomez, W Liu, M Diaz-Zapata, D Sierra-Gonzalez, C Laugier
2024 IEEE Intelligent Vehicles Symposium (IV), 2110-2116, 2024
12024
BEVal: A Cross-dataset Evaluation Study of BEV Segmentation Models for Autonomous Driving
M Diaz-Zapata, W Liu, R Baruffa, C Laugier
2024 18th International Conference on Control, Automation, Robotics and …, 2024
2024
Flow-guided Motion Prediction with Semantics and Dynamic Occupancy Grid Maps
R Asghar, W Liu, L Rummelhard, A Spalanzani, C Laugier
arXiv preprint arXiv:2407.15675, 2024
2024
Towards Visually Interpreting Variational Autoencoders
R Li, W Liu, M Zheng, M Torop, M Rajadhyaksha, J Dy, K Kose, ...
2024
Unsupervised representation learning for detecting out of distribution samples in dermoscopy images of eight types of skin lesions
M Torop, W Liu, DH Brooks, M Rajadhyaksha, JG Dy, O Camps, ...
Photonics in Dermatology and Plastic Surgery 2022, PC119340H, 2022
2022
Explainable Efficient Models for Computer Vision Applications
W Liu
Northeastern University, 2021
2021
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