718 citations · 1.7k across the 44 of their papers we have counts for
8 papers · 1 filter
CLIPXPlore: Coupled CLIP and Shape Spaces for 3D Shape Exploration
Jingyu Hu, Ka-Hei Hui, Zhengzhe liu +2
This paper presents CLIPXPlore, a new framework that leverages a vision-language model to guide the exploration of the 3D shape space. Many recent methods have been developed to en…
RoSI: Recovering 3D Shape Interiors from Few Articulation Images
Akshay Gadi Patil, Yiming Qian, Shan Yang +3
The dominant majority of 3D models that appear in gaming, VR/AR, and those we use to train geometric deep learning algorithms are incomplete, since they are modeled as surface mesh…
CAT-Net: Category-Agnostic 3D Articulation Transfer from Single Image
Jasmine Collins, Anqi Liang, Jitendra Malik +2
We present a neural network approach to transfer the motion from a single image of an articulated object to a rest-state (i.e., unarticulated) 3D model. Our network learns to predi…
Surrogate-assisted Multi-objective Neural Architecture Search for Real-time Semantic Segmentation
Zhichao Lu, Ran Cheng, Shihua Huang +3
The architectural advancements in deep neural networks have led to remarkable leap-forwards across a broad array of computer vision tasks. Instead of relying on human expertise, ne…
Group Contextualization for Video Recognition
Yanbin Hao, Hao Zhang, Chong-Wah Ngo +1
Learning discriminative representation from the complex spatio-temporal dynamic space is essential for video recognition. On top of those stylized spatio-temporal computational uni…
SAC-GAN: Structure-Aware Image Composition
Hang Zhou, Rui Ma, Ling-Xiao Zhang +3
We introduce an end-to-end learning framework for image-to-image composition, aiming to plausibly compose an object represented as a cropped patch from an object image into a backg…
Simultaneous Learning from Human Pose and Object Cues for Real-Time Activity Recognition
Brian Reily, Qingzhao Zhu, Christopher Reardon +1
Real-time human activity recognition plays an essential role in real-world human-centered robotics applications, such as assisted living and human-robot collaboration. Although pre…
An End-to-End Neural Network for Image Cropping by Learning Composition from Aesthetic Photos
Peng Lu, Hao Zhang, Xujun Peng +1
As one of the fundamental techniques for image editing, image cropping discards unrelevant contents and remains the pleasing portions of the image to enhance the overall compositio…