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08/20/2023
Improving Adversarial Robustness of Masked Autoencoders via Test-time Frequency-domain Prompting
In this paper, we investigate the adversarial robustness of vision trans...
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06/08/2023
HQ-50K: A Large-scale, High-quality Dataset for Image Restoration
This paper introduces a new large-scale image restoration dataset, calle...
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06/07/2023
Designing a Better Asymmetric VQGAN for StableDiffusion
StableDiffusion is a revolutionary text-to-image generator that is causi...
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05/25/2023
Uni-ControlNet: All-in-One Control to Text-to-Image Diffusion Models
Text-to-Image diffusion models have made tremendous progress over the pa...
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05/25/2023
Image is First-order Norm+Linear Autoregressive
This paper reveals that every image can be understood as a first-order n...
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05/22/2023
Album Storytelling with Iterative Story-aware Captioning and Large Language Models
This work studies how to transform an album to vivid and coherent storie...
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05/21/2023
i-Code V2: An Autoregressive Generation Framework over Vision, Language, and Speech Data
The convergence of text, visual, and audio data is a key step towards hu...
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05/19/2023
Equivariant Multi-Modality Image Fusion
Multi-modality image fusion is a technique used to combine information f...
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04/27/2023
ChatVideo: A Tracklet-centric Multimodal and Versatile Video Understanding System
Existing deep video models are limited by specific tasks, fixed input-ou...
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04/20/2023
Domain Generalization for Mammographic Image Analysis via Contrastive Learning
Mammographic image analysis is a fundamental problem in the computer-aid...
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03/30/2023
AvatarCraft: Transforming Text into Neural Human Avatars with Parameterized Shape and Pose Control
Neural implicit fields are powerful for representing 3D scenes and gener...
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03/30/2023
Streaming Video Model
Video understanding tasks have traditionally been modeled by two separat...
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03/21/2023
OmniTracker: Unifying Object Tracking by Tracking-with-Detection
Object tracking (OT) aims to estimate the positions of target objects in...
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03/14/2023
Diversity-Aware Meta Visual Prompting
We present Diversity-Aware Meta Visual Prompting (DAM-VP), an efficient ...
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02/27/2023
Layer Grafted Pre-training: Bridging Contrastive Learning And Masked Image Modeling For Label-Efficient Representations
Recently, both Contrastive Learning (CL) and Mask Image Modeling (MIM) d...
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01/18/2023
MADAv2: Advanced Multi-Anchor Based Active Domain Adaptation Segmentation
Unsupervised domain adaption has been widely adopted in tasks with scarc...
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01/05/2023
PA-GM: Position-Aware Learning of Embedding Networks for Deep Graph Matching
Graph matching can be formalized as a combinatorial optimization problem...
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12/15/2022
NeRF-Art: Text-Driven Neural Radiance Fields Stylization
As a powerful representation of 3D scenes, the neural radiance field (Ne...
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12/13/2022
Look Before You Match: Instance Understanding Matters in Video Object Segmentation
Exploring dense matching between the current frame and past frames for l...
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12/12/2022
CLIP Itself is a Strong Fine-tuner: Achieving 85.7 Accuracy with ViT-B and ViT-L on ImageNet
Recent studies have shown that CLIP has achieved remarkable success in p...
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12/07/2022
X-Paste: Revisit Copy-Paste at Scale with CLIP and StableDiffusion
Copy-Paste is a simple and effective data augmentation strategy for inst...
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12/06/2022
Robust Point Cloud Segmentation with Noisy Annotations
Point cloud segmentation is a fundamental task in 3D. Despite recent pro...
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11/29/2022
Improving Commonsense in Vision-Language Models via Knowledge Graph Riddles
This paper focuses on analyzing and improving the commonsense ability of...
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11/23/2022
Self-Supervised Learning based on Heat Equation
This paper presents a new perspective of self-supervised learning based ...
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11/22/2022
SinDiffusion: Learning a Diffusion Model from a Single Natural Image
We present SinDiffusion, leveraging denoising diffusion models to captur...
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09/16/2022
PointCAT: Contrastive Adversarial Training for Robust Point Cloud Recognition
Notwithstanding the prominent performance achieved in various applicatio...
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09/15/2022
OmniVL:One Foundation Model for Image-Language and Video-Language Tasks
This paper presents OmniVL, a new foundation model to support both image...
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09/05/2022
Imaging with Equivariant Deep Learning
From early image processing to modern computational imaging, successful ...
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08/29/2022
Frido: Feature Pyramid Diffusion for Complex Scene Image Synthesis
Diffusion models (DMs) have shown great potential for high-quality image...
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08/25/2022
MaskCLIP: Masked Self-Distillation Advances Contrastive Language-Image Pretraining
This paper presents a simple yet effective framework MaskCLIP, which inc...
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07/14/2022
Bootstrapped Masked Autoencoders for Vision BERT Pretraining
We propose bootstrapped masked autoencoders (BootMAE), a new approach fo...
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07/07/2022
Should All Proposals be Treated Equally in Object Detection?
The complexity-precision trade-off of an object detector is a critical p...
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06/30/2022
Semantic Image Synthesis via Diffusion Models
Denoising Diffusion Probabilistic Models (DDPMs) have achieved remarkabl...
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06/07/2022
Detection Hub: Unifying Object Detection Datasets via Query Adaptation on Language Embedding
Leveraging large-scale data can introduce performance gains on many comp...
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06/02/2022
REVIVE: Regional Visual Representation Matters in Knowledge-Based Visual Question Answering
This paper revisits visual representation in knowledge-based visual ques...
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05/10/2022
Reduce Information Loss in Transformers for Pluralistic Image Inpainting
Transformers have achieved great success in pluralistic image inpainting...
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05/03/2022
i-Code: An Integrative and Composable Multimodal Learning Framework
Human intelligence is multimodal; we integrate visual, linguistic, and a...
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04/20/2022
Residual Mixture of Experts
Mixture of Experts (MoE) is able to scale up vision transformers effecti...
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03/31/2022
Bringing Old Films Back to Life
We present a learning-based framework, recurrent transformer network (RT...
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03/30/2022
Large-Scale Pre-training for Person Re-identification with Noisy Labels
This paper aims to address the problem of pre-training for person re-ide...
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03/23/2022
Sampling Theorems for Unsupervised Learning in Linear Inverse Problems
Solving a linear inverse problem requires knowledge about the underlying...
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03/08/2022
Shape-invariant 3D Adversarial Point Clouds
Adversary and invisibility are two fundamental but conflict characters o...
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03/02/2022
Protecting Celebrities with Identity Consistency Transformer
In this work we propose Identity Consistency Transformer, a novel face f...
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03/02/2022
Self-supervised Transformer for Deepfake Detection
The fast evolution and widespread of deepfake techniques in real-world s...
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01/28/2022
Sampling Theorems for Learning from Incomplete Measurements
In many real-world settings, only incomplete measurement data are availa...
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01/04/2022
Online Multi-Object Tracking with Unsupervised Re-Identification Learning and Occlusion Estimation
Occlusion between different objects is a typical challenge in Multi-Obje...
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12/15/2021
3D Question Answering
Visual Question Answering (VQA) has witnessed tremendous progress in rec...
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12/09/2021
HairCLIP: Design Your Hair by Text and Reference Image
Hair editing is an interesting and challenging problem in computer visio...
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12/09/2021
CLIP-NeRF: Text-and-Image Driven Manipulation of Neural Radiance Fields
We present CLIP-NeRF, a multi-modal 3D object manipulation method for ne...
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12/06/2021
