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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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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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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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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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12/21/2022
Generalized Decoding for Pixel, Image, and Language
We present X-Decoder, a generalized decoding model that can predict pixe...
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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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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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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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06/12/2022
GLIPv2: Unifying Localization and Vision-Language Understanding
We present GLIPv2, a grounded VL understanding model, that serves both l...
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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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06/03/2022
Visual Clues: Bridging Vision and Language Foundations for Image Paragraph Captioning
People say, "A picture is worth a thousand words". Then how can we get t...
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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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04/22/2022
Multimodal Adaptive Distillation for Leveraging Unimodal Encoders for Vision-Language Tasks
Cross-modal encoders for vision-language (VL) tasks are often pretrained...
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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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01/15/2022
CLIP-TD: CLIP Targeted Distillation for Vision-Language Tasks
Contrastive language-image pretraining (CLIP) links vision and language ...
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12/16/2021
RegionCLIP: Region-based Language-Image Pretraining
Contrastive language-image pretraining (CLIP) using image-text pairs has...
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11/22/2021
Florence: A New Foundation Model for Computer Vision
Automated visual understanding of our diverse and open world demands com...
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11/19/2021
UFO: A UniFied TransfOrmer for Vision-Language Representation Learning
In this paper, we propose a single UniFied transfOrmer (UFO), which is c...
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08/12/2021
Mobile-Former: Bridging MobileNet and Transformer
We present Mobile-Former, a parallel design of MobileNet and Transformer...
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08/12/2021
MicroNet: Improving Image Recognition with Extremely Low FLOPs
This paper aims at addressing the problem of substantial performance deg...
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07/01/2021
Focal Self-attention for Local-Global Interactions in Vision Transformers
Recently, Vision Transformer and its variants have shown great promise o...
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06/17/2021
Efficient Self-supervised Vision Transformers for Representation Learning
This paper investigates two techniques for developing efficient self-sup...
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06/15/2021
Dynamic Head: Unifying Object Detection Heads with Attentions
The complex nature of combining localization and classification in objec...
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03/29/2021
CvT: Introducing Convolutions to Vision Transformers
We present in this paper a new architecture, named Convolutional vision ...
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03/29/2021
Multi-Scale Vision Longformer: A New Vision Transformer for High-Resolution Image Encoding
This paper presents a new Vision Transformer (ViT) architecture Multi-Sc...
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03/15/2021
Revisiting Dynamic Convolution via Matrix Decomposition
Recent research in dynamic convolution shows substantial performance boo...
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02/21/2021
Weak NAS Predictors Are All You Need
Neural Architecture Search (NAS) finds the best network architecture by ...
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11/24/2020
MicroNet: Towards Image Recognition with Extremely Low FLOPs
In this paper, we present MicroNet, which is an efficient convolutional ...
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03/27/2020
DA-NAS: Data Adapted Pruning for Efficient Neural Architecture Search
Efficient search is a core issue in Neural Architecture Search (NAS). It...
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03/22/2020
Dynamic ReLU
Rectified linear units (ReLU) are commonly used in deep neural networks....
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12/07/2019
Dynamic Convolution: Attention over Convolution Kernels
Light-weight convolutional neural networks (CNNs) suffer performance deg...
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12/14/2018
TAN: Temporal Aggregation Network for Dense Multi-label Action Recognition
We present Temporal Aggregation Network (TAN) which decomposes 3D convol...
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11/30/2018
MAN: Moment Alignment Network for Natural Language Moment Retrieval via Iterative Graph Adjustment
This research strives for natural language moment retrieval in long, unt...
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08/07/2018
Dynamic Temporal Pyramid Network: A Closer Look at Multi-Scale Modeling for Activity Detection
Recognizing instances at different scales simultaneously is a fundamenta...
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07/21/2018
S3D: Single Shot multi-Span Detector via Fully 3D Convolutional Networks
In this paper, we present a novel Single Shot multi-Span Detector for te...
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04/13/2018
Deep Motion Boundary Detection
Motion boundary detection is a crucial yet challenging problem. Prior me...
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08/08/2017
Temporal Context Network for Activity Localization in Videos
We present a Temporal Context Network (TCN) for precise temporal localiz...
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02/09/2016
