If you are attending #CVPR2023 physically or virtually, please check out 馃憠our Highlight 馃挕 paper "Hidden Gems馃拵: 4D Radar Scene Flow Learning Using Cross-Modal Supervision" (WED-AM-106) (co-authored with @chris_x_lu @andraspalffy and Dariu Gavrila). Page: github.com/Toytiny/CMFlow
Assistant Professor @ HKUST(GZ) | Prev. Postdoc @ MIT | RSS 2025 Pioneers | PhD in Robotics and AI @ The University of Edinburgh
- I will be at @ieee_ras_icra ICRA2023 next week, presenting my poster on Tue 30 May 15:00-16:40, PODS 1-15. Look forward to meet many people who are also enthusiastic about robotics. Do take time to drop by and have a chat with me馃槈.
- Exciting news! Our #CVPR2023 paper "Hidden Gems: 4D Radar Scene Flow Learning Using Cross-Modal Supervision" was selected as a highlight 馃挕 (10% of the accepted papers, 2.5% of submissions). Can't wait 馃殌 to share our ideas with every attendee.馃榾Thrilled to announce our #CVPR2023 work "饾悋饾悽饾悵饾悵饾悶饾惂 饾悊饾悶饾惁饾惉: 4饾悆 饾悜饾悮饾悵饾悮饾惈 饾悞饾悳饾悶饾惂饾悶 饾悈饾惀饾惃饾惏 饾悑饾悶饾悮饾惈饾惂饾悽饾惂饾悹 饾悢饾惉饾悽饾惂饾悹 饾悅饾惈饾惃饾惉饾惉-饾悓饾惃饾悵饾悮饾惀 饾悞饾惍饾惄饾悶饾惈饾惎饾悽饾惉饾悽饾惃饾惂" got accepted. Am approach to 4D radar-based scene flow estimation via cross-modal learning was proposed.
- 馃榾Thrilled to announce our #CVPR2023 work "饾悋饾悽饾悵饾悵饾悶饾惂 饾悊饾悶饾惁饾惉: 4饾悆 饾悜饾悮饾悵饾悮饾惈 饾悞饾悳饾悶饾惂饾悶 饾悈饾惀饾惃饾惏 饾悑饾悶饾悮饾惈饾惂饾悽饾惂饾悹 饾悢饾惉饾悽饾惂饾悹 饾悅饾惈饾惃饾惉饾惉-饾悓饾惃饾悵饾悮饾惀 饾悞饾惍饾惄饾悶饾惈饾惎饾悽饾惉饾悽饾惃饾惂" got accepted. Am approach to 4D radar-based scene flow estimation via cross-modal learning was proposed.

