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08/23/2023
EVE: Efficient Vision-Language Pre-training with Masked Prediction and Modality-Aware MoE
Building scalable vision-language models to learn from diverse, multimod...
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08/08/2023
Exploring Transformers for Open-world Instance Segmentation
Open-world instance segmentation is a rising task, which aims to segment...
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05/25/2023
ChatBridge: Bridging Modalities with Large Language Model as a Language Catalyst
Building general-purpose models that can perceive diverse real-world mod...
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04/10/2023
Meta Compositional Referring Expression Segmentation
Referring expression segmentation aims to segment an object described by...
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04/09/2023
Token Boosting for Robust Self-Supervised Visual Transformer Pre-training
Learning with large-scale unlabeled data has become a powerful tool for ...
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04/06/2023
Learning Instance-Level Representation for Large-Scale Multi-Modal Pretraining in E-commerce
This paper aims to establish a generic multi-modal foundation model that...
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04/04/2023
EGC: Image Generation and Classification via a Single Energy-Based Model
Learning image classification and image generation using the same set of...
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04/04/2023
Multi-Level Contrastive Learning for Dense Prediction Task
In this work, we present Multi-Level Contrastive Learning for Dense Pred...
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03/12/2023
Universal Instance Perception as Object Discovery and Retrieval
All instance perception tasks aim at finding certain objects specified b...
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01/09/2023
Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling
We identify and overcome two key obstacles in extending the success of B...
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12/15/2022
QueryPose: Sparse Multi-Person Pose Regression via Spatial-Aware Part-Level Query
We propose a sparse end-to-end multi-person pose regression framework, t...
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11/27/2022
Learning Object-Language Alignments for Open-Vocabulary Object Detection
Existing object detection methods are bounded in a fixed-set vocabulary ...
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10/09/2022
MAMO: Masked Multimodal Modeling for Fine-Grained Vision-Language Representation Learning
Multimodal representation learning has shown promising improvements on v...
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10/09/2022
Self-supervised Video Representation Learning with Motion-Aware Masked Autoencoders
Masked autoencoders (MAEs) have emerged recently as art self-supervised ...
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10/02/2022
ManiCLIP: Multi-Attribute Face Manipulation from Text
In this paper we present a novel multi-attribute face manipulation metho...
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09/27/2022
Embracing Consistency: A One-Stage Approach for Spatio-Temporal Video Grounding
Spatio-Temporal video grounding (STVG) focuses on retrieving the spatio-...
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09/26/2022
Rethinking Resolution in the Context of Efficient Video Recognition
In this paper, we empirically study how to make the most of low-resoluti...
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09/09/2022
MCIBI++: Soft Mining Contextual Information Beyond Image for Semantic Segmentation
Co-occurrent visual pattern makes context aggregation become an essentia...
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08/18/2022
Single-Stage Open-world Instance Segmentation with Cross-task Consistency Regularization
Open-world instance segmentation (OWIS) aims to segment class-agnostic i...
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07/16/2022
You Should Look at All Objects
Feature pyramid network (FPN) is one of the key components for object de...
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07/14/2022
Towards Grand Unification of Object Tracking
We present a unified method, termed Unicorn, that can simultaneously sol...
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04/05/2022
Birds of A Feather Flock Together: Category-Divergence Guidance for Domain Adaptive Segmentation
Unsupervised domain adaptation (UDA) aims to enhance the generalization ...
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03/05/2022
MetaFormer: A Unified Meta Framework for Fine-Grained Recognition
Fine-Grained Visual Classification(FGVC) is the task that requires recog...
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02/26/2022
Content-Variant Reference Image Quality Assessment via Knowledge Distillation
Generally, humans are more skilled at perceiving differences between hig...
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01/03/2022
Language as Queries for Referring Video Object Segmentation
Referring video object segmentation (R-VOS) is an emerging cross-modal t...
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12/01/2021
Trimap-guided Feature Mining and Fusion Network for Natural Image Matting
Utilizing trimap guidance and fusing multi-level features are two import...
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11/29/2021
DanceTrack: Multi-Object Tracking in Uniform Appearance and Diverse Motion
A typical pipeline for multi-object tracking (MOT) is to use a detector ...
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11/10/2021
Multimodal Transformer with Variable-length Memory for Vision-and-Language Navigation
Vision-and-Language Navigation (VLN) is a task that an agent is required...
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10/13/2021
ByteTrack: Multi-Object Tracking by Associating Every Detection Box
Multi-object tracking (MOT) aims at estimating bounding boxes and identi...
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10/06/2021
Objects in Semantic Topology
A more realistic object detection paradigm, Open-World Object Detection,...
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09/13/2021
Weakly Supervised Person Search with Region Siamese Networks
Supervised learning is dominant in person search, but it requires elabor...
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09/01/2021
Memory Based Video Scene Parsing
Video scene parsing is a long-standing challenging task in computer visi...
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04/30/2021
Center Prediction Loss for Re-identification
The training loss function that enforces certain training sample distrib...
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04/08/2021
Conditional Meta-Network for Blind Super-Resolution with Multiple Degradations
Although single-image super-resolution (SISR) methods have achieved grea...
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12/31/2020
TransTrack: Multiple-Object Tracking with Transformer
Multiple-object tracking(MOT) is mostly dominated by complex and multi-s...
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12/10/2020
OneNet: Towards End-to-End One-Stage Object Detection
End-to-end one-stage object detection trailed thus far. This paper disco...
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12/10/2020
Slimmable Generative Adversarial Networks
Generative adversarial networks (GANs) have achieved remarkable progress...
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11/25/2020
Sparse R-CNN: End-to-End Object Detection with Learnable Proposals
We present Sparse R-CNN, a purely sparse method for object detection in ...
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04/02/2020
Controllable Orthogonalization in Training DNNs
Orthogonality is widely used for training deep neural networks (DNNs) du...
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07/03/2019
Deformable Tube Network for Action Detection in Videos
We address the problem of spatio-temporal action detection in videos. Ex...
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10/09/2018
Knowing Where to Look? Analysis on Attention of Visual Question Answering System
Attention mechanisms have been widely used in Visual Question Answering ...
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09/16/2018
