Sphinx: The joint mixing of weights, tasks, and visual embeddings for multi-modal large language models Z Lin, C Liu, R Zhang, P Gao, L Qiu, H Xiao, H Qiu, C Lin, W Shao, ... arXiv preprint arXiv:2311.07575, 2023 | 221 | 2023 |
Borderdet: Border feature for dense object detection H Qiu, Y Ma, Z Li, S Liu, J Sun Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 168 | 2020 |
MonoDETR: Depth-guided transformer for monocular 3D object detection R Zhang, H Qiu, T Wang, Z Guo, Z Cui, Y Qiao, H Li, P Gao Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 154 | 2023 |
Learning to Prompt Segment Anything Models J Huang, K Jiang, J Zhang, H Qiu, L Lu, S Lu, E Xing arXiv preprint arXiv:2401.04651, 2024 | 8 | 2024 |
Prompt Ensemble Self-training for Open-Vocabulary Domain Adaptation J Huang, J Zhang, H Qiu, S Jin, S Lu arXiv preprint arXiv:2306.16658, 2023 | 3 | 2023 |
Masked AutoDecoder is Effective Multi-Task Vision Generalist H Qiu, J Huang, P Gao, L Lu, X Zhang, S Lu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 2 | 2024 |
SPHINX: A Mixer of Weights, Visual Embeddings and Image Scales for Multi-modal Large Language Models Z Lin, D Liu, R Zhang, P Gao, L Qiu, H Xiao, H Qiu, W Shao, K Chen, ... European Conference on Computer Vision, 36-55, 2024 | 1 | 2024 |
Efficient MAE towards Large-Scale Vision Transformers Q Han, G Zhang, J Huang, P Gao, Z Wei, S Lu Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 1 | 2024 |
LongHalQA: Long-Context Hallucination Evaluation for MultiModal Large Language Models H Qiu, J Huang, P Gao, Q Qi, X Zhang, L Shao, S Lu arXiv preprint arXiv:2410.09962, 2024 | | 2024 |
Hough Voting-based Self-Training for Vision-Language Model Adaptation J Huang, J Zhang, H Qiu, S Lu, D Tao | | |
Multi-Prompt Denoised Self-Training for Open-Vocabulary Model Adaptation J Huang, J Zhang, H Qiu, S Jin, L Lu, S Lu | | |
1S-Lab, Nanyang Technological University 2Black Sesame Technologies 3Shanghai Artificial Intelligence Laboratory Q Han, G Zhang, J Huang, P Gao, Z Wei, S Lu | | |