About Me

Here is Rong Qin(秦荣).

I received the B.S.degree in the artificial intelligence from Chongqing University, Chongqing, China, in 2023. I am currently pursuing the Ph.D. degree with Nankai University, Tianjin, China. My current research interests include affective computing and high-resolution image processing.

If you are interested in any aspect of me, I would love to chat and collaborate, please email me at - 3240667471@qq.com

My Paper at NKU

• Cross-Coordinate Correspondence Pruning for Image-to-Point Cloud Registration, ARXIV 2026, Co-1st Author

• Finding Highlight Images In Your Albums:From Benchmark To Agentic MLLM, ECCV Poster 2026, 1st Author

• Collaborative Feature Matching with Progressive Correspondence Learning, AAAI Poster 2026, 3rd Author

• Revisiting End-to-End Learning with Slide-level Supervision in Computational Pathology, NIPS Poster 2025, Co-1st Author

• No pains, more gains: Recycling sub-salient patches for efficient high-resolution image recognition, CVPR Highlight 2025, 1st Author

• Boosting the dual-stream architecture in ultra-high resolution segmentation with resolution-biased uncertainty estimation, CVPR Poster 2025, 1st Author

• NCMNet: Neighbor Consistency Mining Network for Two-View Correspondence Pruning, TPAMI Regular Paper 2024, 2nd Author

• Perceive before Respond: Improving Sticker Response Selection by Emotion Distillation and Hard Mining, ACM MM Poster 2024, 3rd Author

My Paper at CQU

• Kernel Inversed Pyramidal Resizing Network for Efficient Pavement Distress Recognition, ICONIP Oral 2022, 1st Author

• MSTIL: Multi-cue Shape-aware Transferable Imbalance Learning for effective graphic API recommendation, Journal of Systems and Software Regular Paper 2022, 1st Author

• ASDFL: An adaptive super‐pixel discriminative feature‐selective learning for vehicle matching, Expert Systems Regular Paper 2022, 1st Author