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07/05/2023
Zero-Shot Neural Architecture Search: Challenges, Solutions, and Opportunities
Recently, zero-shot (or training-free) Neural Architecture Search (NAS) ...
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05/25/2023
Prompt-Free Diffusion: Taking "Text" out of Text-to-Image Diffusion Models
Text-to-image (T2I) research has grown explosively in the past year, owi...
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05/01/2023
In-Context Learning Unlocked for Diffusion Models
We present Prompt Diffusion, a framework for enabling in-context learnin...
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04/12/2023
AutoShot: A Short Video Dataset and State-of-the-Art Shot Boundary Detection
The short-form videos have explosive popularity and have dominated the n...
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03/30/2023
PAIR-Diffusion: Object-Level Image Editing with Structure-and-Appearance Paired Diffusion Models
Image editing using diffusion models has witnessed extremely fast-paced ...
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03/23/2023
Text2Video-Zero: Text-to-Image Diffusion Models are Zero-Shot Video Generators
Recent text-to-video generation approaches rely on computationally heavy...
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12/03/2022
StegaNeRF: Embedding Invisible Information within Neural Radiance Fields
Recent advances in neural rendering imply a future of widespread visual ...
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11/15/2022
Versatile Diffusion: Text, Images and Variations All in One Diffusion Model
The recent advances in diffusion models have set an impressive milestone...
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10/26/2022
M^3ViT: Mixture-of-Experts Vision Transformer for Efficient Multi-task Learning with Model-Accelerator Co-design
Multi-task learning (MTL) encapsulates multiple learned tasks in a singl...
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09/15/2022
Can We Solve 3D Vision Tasks Starting from A 2D Vision Transformer?
Vision Transformers (ViTs) have proven to be effective, in solving 2D im...
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07/27/2022
Is Attention All NeRF Needs?
We present Generalizable NeRF Transformer (GNT), a pure, unified transfo...
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07/23/2022
Self-Supervised Learning of Echocardiogram Videos Enables Data-Efficient Clinical Diagnosis
Given the difficulty of obtaining high-quality labels for medical image ...
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06/13/2022
A Multi-purpose Real Haze Benchmark with Quantifiable Haze Levels and Ground Truth
Imagery collected from outdoor visual environments is often degraded due...
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03/27/2022
On the Neural Tangent Kernel Analysis of Randomly Pruned Wide Neural Networks
We study the behavior of ultra-wide neural networks when their weights a...
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01/02/2022
Fast and High-Quality Image Denoising via Malleable Convolutions
Many image processing networks apply a single set of static convolutiona...
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10/09/2021
Towards Lifelong Learning of Multilingual Text-To-Speech Synthesis
This work presents a lifelong learning approach to train a multilingual ...
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08/15/2021
SSH: A Self-Supervised Framework for Image Harmonization
Image harmonization aims to improve the quality of image compositing by ...
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02/14/2021
TransGAN: Two Transformers Can Make One Strong GAN
The recent explosive interest on transformers has suggested their potent...
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01/08/2021
Good Students Play Big Lottery Better
Lottery ticket hypothesis suggests that a dense neural network contains ...
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02/06/2020
VGAI: A Vision-Based Decentralized Controller Learning Framework for Robot Swarms
Despite the popularity of decentralized controller learning, very few su...
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12/23/2019
FasterSeg: Searching for Faster Real-time Semantic Segmentation
We present FasterSeg, an automatically designed semantic segmentation ne...
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08/10/2019
DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better
We present a new end-to-end generative adversarial network (GAN) for sin...
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06/12/2019
Privacy-Preserving Deep Visual Recognition: An Adversarial Learning Framework and A New Dataset
This paper aims to boost privacy-preserving visual recognition, an incre...
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05/03/2019
Controllable Artistic Text Style Transfer via Shape-Matching GAN
Artistic text style transfer is the task of migrating the style from a s...
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07/29/2018
U-Finger: Multi-Scale Dilated Convolutional Network for Fingerprint Image Denoising and Inpainting
This paper studies the challenging problem of fingerprint image denoisin...
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02/28/2018
L_p-Norm Constrained Coding With Frank-Wolfe Network
We investigate the problem of L_p-norm constrained coding, i.e. converti...
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12/12/2017
RESIDE: A Benchmark for Single Image Dehazing
In this paper, we present a comprehensive study and evaluation of existi...
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04/06/2016
Learning A Deep ℓ_∞ Encoder for Hashing
We investigate the ℓ_∞-constrained representation which demonstrates rob...
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07/12/2015
