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09/03/2023
Attention Where It Matters: Rethinking Visual Document Understanding with Selective Region Concentration
We propose a novel end-to-end document understanding model called SeRum ...
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08/27/2023
Unified and Dynamic Graph for Temporal Character Grouping in Long Videos
Video temporal character grouping locates appearing moments of major cha...
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08/21/2023
Turning a CLIP Model into a Scene Text Spotter
We exploit the potential of the large-scale Contrastive Language-Image P...
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08/16/2023
MemoChat: Tuning LLMs to Use Memos for Consistent Long-Range Open-Domain Conversation
We propose MemoChat, a pipeline for refining instructions that enables l...
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08/08/2023
D3G: Exploring Gaussian Prior for Temporal Sentence Grounding with Glance Annotation
Temporal sentence grounding (TSG) aims to locate a specific moment from ...
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08/08/2023
Coarse-to-Fine: Learning Compact Discriminative Representation for Single-Stage Image Retrieval
Image retrieval targets to find images from a database that are visually...
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06/23/2023
A Survey on Multimodal Large Language Models
Multimodal Large Language Model (MLLM) recently has been a new rising re...
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06/23/2023
MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models
Multimodal Large Language Model (MLLM) relies on the powerful LLM to per...
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06/06/2023
Looking and Listening: Audio Guided Text Recognition
Text recognition in the wild is a long-standing problem in computer visi...
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06/05/2023
ICDAR 2023 Competition on Structured Text Extraction from Visually-Rich Document Images
Structured text extraction is one of the most valuable and challenging a...
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03/16/2023
Grab What You Need: Rethinking Complex Table Structure Recognition with Flexible Components Deliberation
Recently, Table Structure Recognition (TSR) task, aiming at identifying ...
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03/14/2023
Co-Salient Object Detection with Co-Representation Purification
Co-salient object detection (Co-SOD) aims at discovering the common obje...
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06/14/2022
Efficient Decoder-free Object Detection with Transformers
Vision transformers (ViTs) are changing the landscape of object detectio...
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03/23/2022
Training-free Transformer Architecture Search
Recently, Vision Transformer (ViT) has achieved remarkable success in se...
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12/20/2021
Reciprocal Normalization for Domain Adaptation
Batch normalization (BN) is widely used in modern deep neural networks, ...
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11/01/2021
RMNet: Equivalently Removing Residual Connection from Networks
Although residual connection enables training very deep neural networks,...
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09/04/2021
PR-Net: Preference Reasoning for Personalized Video Highlight Detection
Personalized video highlight detection aims to shorten a long video to i...
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08/16/2021
Learning Canonical View Representation for 3D Shape Recognition with Arbitrary Views
In this paper, we focus on recognizing 3D shapes from arbitrary views, i...
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08/03/2021
Evo-ViT: Slow-Fast Token Evolution for Dynamic Vision Transformer
Vision transformers have recently received explosive popularity, but the...
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07/20/2021
Discriminator-Free Generative Adversarial Attack
The Deep Neural Networks are vulnerable toadversarial exam-ples(Figure 1...
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07/18/2021
AS-MLP: An Axial Shifted MLP Architecture for Vision
An Axial Shifted MLP architecture (AS-MLP) is proposed in this paper. Di...
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04/21/2021
Temporal Modulation Network for Controllable Space-Time Video Super-Resolution
Space-time video super-resolution (STVSR) aims to increase the spatial a...
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04/19/2021
DisCo: Remedy Self-supervised Learning on Lightweight Models with Distilled Contrastive Learning
While self-supervised representation learning (SSL) has received widespr...
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03/25/2021
On Evolving Attention Towards Domain Adaptation
Towards better unsupervised domain adaptation (UDA). Recently, researche...
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03/02/2021
Part2Whole: Iteratively Enrich Detail for Cross-Modal Retrieval with Partial Query
Text-based image retrieval has seen considerable progress in recent year...
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01/19/2021
On The Consistency Training for Open-Set Semi-Supervised Learning
Conventional semi-supervised learning (SSL) methods, e.g., MixMatch, ach...
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01/08/2021
Contextual Non-Local Alignment over Full-Scale Representation for Text-Based Person Search
Text-based person search aims at retrieving target person in an image ga...
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12/10/2020
One for More: Selecting Generalizable Samples for Generalizable ReID Model
Current training objectives of existing person Re-IDentification (ReID) ...
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10/05/2020
Learning with Instance-Dependent Label Noise: A Sample Sieve Approach
Human-annotated labels are often prone to noise, and the presence of suc...
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09/30/2020
Pruning Filter in Filter
Pruning has become a very powerful and effective technique to compress a...
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09/12/2020
Removing the Background by Adding the Background: Towards Background Robust Self-supervised Video Representation Learning
Self-supervised learning has shown great potentials in improving the vid...
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09/12/2020
Enhancing Unsupervised Video Representation Learning by Decoupling the Scene and the Motion
One significant factor we expect the video representation learning to ca...
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09/11/2020
Devil's in the Detail: Graph-based Key-point Alignment and Embedding for Person Re-ID
Although Person Re-Identification has made impressive progress, difficul...
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08/16/2020
Do Not Disturb Me: Person Re-identification Under the Interference of Other Pedestrians
In the conventional person Re-ID setting, it is widely assumed that crop...
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07/27/2020
NOH-NMS: Improving Pedestrian Detection by Nearby Objects Hallucination
Greedy-NMS inherently raises a dilemma, where a lower NMS threshold will...
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04/26/2020
DGD: Densifying the Knowledge of Neural Networks with Filter Grafting and Knowledge Distillation
With a fixed model structure, knowledge distillation and filter grafting...
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01/15/2020
Filter Grafting for Deep Neural Networks
This paper proposes a new learning paradigm called filter grafting, whic...
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12/03/2019
Asymmetric Co-Teaching for Unsupervised Cross Domain Person Re-Identification
Person re-identification (re-ID), is a challenging task due to the high ...
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12/03/2019
Viewpoint-Aware Loss with Angular Regularization for Person Re-Identification
Although great progress in supervised person re-identification (Re-ID) h...
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11/28/2019
Rethinking Temporal Fusion for Video-based Person Re-identification on Semantic and Time Aspect
Recently, the research interest of person re-identification (ReID) has g...
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10/03/2019
High-dimensional Dense Residual Convolutional Neural Network for Light Field Reconstruction
We consider the problem of high-dimensional light field reconstruction a...
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10/29/2018
A Coarse-to-fine Pyramidal Model for Person Re-identification via Multi-Loss Dynamic Training
Most existing Re-IDentification (Re-ID) methods are highly dependent on ...
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05/24/2016
