Prof. Ni Zhang
Contact
nni_zhang@163.com
Google Scholar Profile
Research Interests
- Artificial Intelligence
- Computer Vision
- Salient Object Detection
- Multimodal Learning
Education and Work Experience:
- 2025- Assistant professor in Computer Science and Technology, Xi’an Jiaotong University.
- 2017-2024 Ph.D. in School of Automation, Northwestern Polytechnical University.
Publications
- Ni Zhang, et al. “CADC++: Advanced Consensus-Aware Dynamic Convolution for Co-Salient Object Detection”, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2024, 46(5): 2741-2757.
- Ni Zhang, et al. “Learning Implicit Class Knowledge for RGB-D Co-Salient Object Detection with Transformers”, IEEE Transactions on Image Processing (T-IP). 2022, 31:4556-4570.
- Ni Zhang, et al. “Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency Detection”, in Proceedings of the IEEE International Conference on Computer Vision (ICCV). 2021: 4167-4176.
- Ni Zhang, et al. “Face De-occlusion with Deep Cascade Guidance Learning”, IEEE Transactions on Multimedia (T-MM). 2023, 25: 3217-3229.
- Ni Zhang, et al. “Determination of Total Iron-reactive Phenolics, Anthocyanins and Tannins in Wine Grapes of Skins and Seeds Based on Near-infrared Hyperspectral Imaging”, Food Chemistry. 2017, 237: 811-817, 2017.
- Nian Liu, Ni Zhang(共同一作), et al. “Visual Saliency Transformer”, in Proceedings of the IEEE International Conference on Computer Vision (ICCV). 2021: 4722-4732.
- Nian Liu, Ni Zhang, et al. “Learning Selective Mutual Attention and Contrast for RGB-D Saliency Detection”, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2022, 44(12): 9026-9042.
- Nian Liu, Ni Zhang, et al. “Learning Selective Self-Mutual Attention for RGB-D Saliency Detection”, in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2020: 13756-13765.
- Long Li, Junwei Han, Ni Zhang, Nian Liu, et al. “Discriminative Co-Saliency and Background Mining Transformer for Co-Salient Object Detection”, in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2023: 7247-7256.
- Nian Liu, Ziyang Luo, Ni Zhang, Junwei Han. “VST++: Efficient and Stronger Visual Saliency Transformer”, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2024, 46(11): 7300-7316.