A variety of Neural Radiance Fields (NeRF) methods have recently achieve...
Content affinity loss including feature and pixel affinity is a main pro...
Multifold observations are common for different data modalities, e.g., a...
Three-dimensional face dense alignment and reconstruction in the wild is...
This paper presents a view-guided solution for the task of point cloud
c...
This paper presents an end-to-end 3D convolutional network named
attenti...
We introduce the first method for automatic image generation from scene-...
In this paper, we study physical adversarial attacks on object detectors...
Three-dimensional (3D) shape recognition has drawn much research attenti...
We propose an attention-injective deformable convolutional network calle...
Network embedding aims to find a way to encode network by learning an
em...
Freehand sketching is a dynamic process where points are sequentially sa...
We introduce LUCSS, a language-based system for interactive col- orizati...
We contribute the first large-scale dataset of scene sketches, SketchySc...
Skeleton-based action recognition task is entangled with complex
spatio-...
We present a multi-scale approach to sketch-based shape retrieval. It is...