77 citations · 215 across the 13 of their papers we have counts for
4 papers · 1 filter
STEERER: Resolving Scale Variations for Counting and Localization via Selective Inheritance Learning
Tao Han, Lei Bai, Lingbo Liu +1
Scale variation is a deep-rooted problem in object counting, which has not been effectively addressed by existing scale-aware algorithms. An important factor is that they typically…
DRPT: Disentangled and Recurrent Prompt Tuning for Compositional Zero-Shot Learning
Xiaocheng Lu, Ziming Liu, Song Guo +4
Compositional Zero-shot Learning (CZSL) aims to recognize novel concepts composed of known knowledge without training samples. Standard CZSL either identifies visual primitives or…
FengWu: Pushing the Skillful Global Medium-range Weather Forecast beyond 10 Days Lead
Kang Chen, Tao Han, Junchao Gong +11
We present FengWu, an advanced data-driven global medium-range weather forecast system based on Artificial Intelligence (AI). Different from existing data-driven weather forecast m…
Towards a Muon Collider
Carlotta Accettura, Dean Adams, Rohit Agarwal +294
A muon collider would enable the big jump ahead in energy reach that is needed for a fruitful exploration of fundamental interactions. The challenges of producing muon collisions a…