7 citations · 14 across the 8 of their papers we have counts for
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cs.CV2024
Loss Distillation via Gradient Matching for Point Cloud Completion with Weighted Chamfer Distance
Fangzhou Lin, Haotian Liu, Haoying Zhou +6
3D point clouds enhanced the robot's ability to perceive the geometrical information of the environments, making it possible for many downstream tasks such as grasp pose detection…
cs.CV2024★ 7 cited
Understanding Hyperbolic Metric Learning through Hard Negative Sampling
Yun Yue, Fangzhou Lin, Guanyi Mou +1
In recent years, there has been a growing trend of incorporating hyperbolic geometry methods into computer vision. While these methods have achieved state-of-the-art performance on…
cs.CV2023★ 7 cited
Hyperbolic Contrastive Learning
Yun Yue, Fangzhou Lin, Kazunori D Yamada +1
Learning good image representations that are beneficial to downstream tasks is a challenging task in computer vision. As such, a wide variety of self-supervised learning approaches…