30 citations · 91 across the 44 of their papers we have counts for
5 papers · 1 filter
LumiNet: Perception-Driven Knowledge Distillation via Statistical Logit Calibration
Md. Ismail Hossain, M M Lutfe Elahi, Sameera Ramasinghe +4
In the knowledge distillation literature, feature-based methods have dominated due to their ability to effectively tap into extensive teacher models. In contrast, logit-based appro…
Robust Point Cloud Processing through Positional Embedding
Jianqiao Zheng, Xueqian Li, Sameera Ramasinghe +1
End-to-end trained per-point embeddings are an essential ingredient of any state-of-the-art 3D point cloud processing such as detection or alignment. Methods like PointNet, or the…
Curvature-Aware Training for Coordinate Networks
Hemanth Saratchandran, Shin-Fang Chng, Sameera Ramasinghe +2
Coordinate networks are widely used in computer vision due to their ability to represent signals as compressed, continuous entities. However, training these networks with first-ord…
BLiRF: Bandlimited Radiance Fields for Dynamic Scene Modeling
Sameera Ramasinghe, Violetta Shevchenko, Gil Avraham +1
Reasoning the 3D structure of a non-rigid dynamic scene from a single moving camera is an under-constrained problem. Inspired by the remarkable progress of neural radiance fields (…
On the effectiveness of neural priors in modeling dynamical systems
Sameera Ramasinghe, Hemanth Saratchandran, Violetta Shevchenko +1
Modelling dynamical systems is an integral component for understanding the natural world. To this end, neural networks are becoming an increasingly popular candidate owing to their…