research
∙
09/13/2023
Hydra: Multi-head Low-rank Adaptation for Parameter Efficient Fine-tuning
The recent surge in large-scale foundation models has spurred the develo...
share
research
∙
06/28/2023
Separable Physics-Informed Neural Networks
Physics-informed neural networks (PINNs) have recently emerged as promis...
research
∙
04/05/2023
SMPConv: Self-moving Point Representations for Continuous Convolution
Continuous convolution has recently gained prominence due to its ability...
research
∙
12/23/2022
FFNeRV: Flow-Guided Frame-Wise Neural Representations for Videos
Neural fields, also known as coordinate-based or implicit neural represe...
research
∙
12/18/2022
Masked Wavelet Representation for Compact Neural Radiance Fields
Neural radiance fields (NeRF) have demonstrated the potential of coordin...
research
∙
11/16/2022
Separable PINN: Mitigating the Curse of Dimensionality in Physics-Informed Neural Networks
Physics-informed neural networks (PINNs) have emerged as new data-driven...
research
∙
07/26/2022
PIXEL: Physics-Informed Cell Representations for Fast and Accurate PDE Solvers
With the increases in computational power and advances in machine learni...
research
∙
07/20/2022
Streamable Neural Fields
Neural fields have emerged as a new data representation paradigm and hav...
research
∙
01/12/2022
Neural Residual Flow Fields for Efficient Video Representations
Implicit neural representation (INR) has emerged as a powerful paradigm ...
research
∙
10/02/2019
Unsupervised Doodling and Painting with Improved SPIRAL
We investigate using reinforcement learning agents as generative models ...
research
∙
04/15/2019
Low-Power Computer Vision: Status, Challenges, Opportunities
Computer vision has achieved impressive progress in recent years. Meanwh...
research
∙
02/09/2019
Meta-Curvature
We propose to learn curvature information for better generalization and ...
research
∙
10/03/2018
2018 Low-Power Image Recognition Challenge
The Low-Power Image Recognition Challenge (LPIRC, https://rebootingcompu...
research
∙
01/09/2018
Meta-Tracker: Fast and Robust Online Adaptation for Visual Object Trackers
This paper improves state-of-the-art on-line trackers that use deep lear...
research
∙
03/08/2017
Transformation-Grounded Image Generation Network for Novel 3D View Synthesis
We present a transformation-grounded image generation network for novel ...
research
∙
02/27/2017
A Dataset for Developing and Benchmarking Active Vision
We present a new public dataset with a focus on simulating robotic visio...
research
∙
05/31/2015
