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07/11/2023
Offline and Online Optical Flow Enhancement for Deep Video Compression
Video compression relies heavily on exploiting the temporal redundancy b...
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06/28/2023
RSPrompter: Learning to Prompt for Remote Sensing Instance Segmentation based on Visual Foundation Model
Leveraging vast training data (SA-1B), the foundation Segment Anything M...
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05/24/2023
Breaking the Curse of Quality Saturation with User-Centric Ranking
A key puzzle in search, ads, and recommendation is that the ranking mode...
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05/24/2023
Remote Sensing Image Change Detection Towards Continuous Bitemporal Resolution Differences
Most contemporary supervised Remote Sensing (RS) image Change Detection ...
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11/30/2022
Nonmonontone submodular maximization under routing constraints
In machine learning and big data, the optimization objectives based on s...
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11/12/2022
Innovative Drug-like Molecule Generation from Flow-based Generative Model
To design a drug given a biological molecule by using deep learning meth...
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10/05/2022
APGKT: Exploiting Associative Path on Skills Graph for Knowledge Tracing
Knowledge tracing (KT) is a fundamental task in educational data mining ...
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07/21/2022
KD-MVS: Knowledge Distillation Based Self-supervised Learning for MVS
Supervised multi-view stereo (MVS) methods have achieved remarkable prog...
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07/21/2022
Sobolev Training for Implicit Neural Representations with Approximated Image Derivatives
Recently, Implicit Neural Representations (INRs) parameterized by neural...
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07/20/2022
Spotting Temporally Precise, Fine-Grained Events in Video
We introduce the task of spotting temporally precise, fine-grained event...
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07/15/2022
COEM: Cross-Modal Embedding for MetaCell Identification
Metacells are disjoint and homogeneous groups of single-cell profiles, r...
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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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12/07/2021
Grounded Language-Image Pre-training
This paper presents a grounded language-image pre-training (GLIP) model ...
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11/29/2021
TransMVSNet: Global Context-aware Multi-view Stereo Network with Transformers
In this paper, we present TransMVSNet, based on our exploration of featu...
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11/25/2021
MegLoc: A Robust and Accurate Visual Localization Pipeline
In this paper, we present a visual localization pipeline, namely MegLoc,...
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08/10/2021
Method Towards CVPR 2021 SimLocMatch Challenge
This report describes Megvii-3D team's approach towards SimLocMatch Chal...
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08/10/2021
Method Towards CVPR 2021 Image Matching Challenge
This report describes Megvii-3D team's approach towards CVPR 2021 Image ...
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04/29/2021
ELSD: Efficient Line Segment Detector and Descriptor
We present the novel Efficient Line Segment Detector and Descriptor (ELS...
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11/03/2020
Amortized Variational Deep Q Network
Efficient exploration is one of the most important issues in deep reinfo...
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09/26/2020
Recurrent Inference in Text Editing
In neural text editing, prevalent sequence-to-sequence based approaches ...
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08/13/2020
Analyzing Who and What Appears in a Decade of US Cable TV News
Cable TV news reaches millions of U.S. households each day, meaning that...
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08/11/2020
Vid2Player: Controllable Video Sprites that Behave and Appear like Professional Tennis Players
We present a system that converts annotated broadcast video of tennis ma...
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06/24/2020
IA-MOT: Instance-Aware Multi-Object Tracking with Motion Consistency
Multiple object tracking (MOT) is a crucial task in computer vision soci...
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03/10/2020
Learning to be Global Optimizer
The advancement of artificial intelligence has cast a new light on the d...
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03/04/2020
On Hyper-parameter Tuning for Stochastic Optimization Algorithms
This paper proposes the first-ever algorithmic framework for tuning hype...
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03/02/2020
Adaptive Structural Hyper-Parameter Configuration by Q-Learning
Tuning hyper-parameters for evolutionary algorithms is an important issu...
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10/18/2019
Eye in the Sky: Drone-Based Object Tracking and 3D Localization
Drones, or general UAVs, equipped with a single camera have been widely ...
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10/08/2019
GetNet: Get Target Area for Image Pairing
Image pairing is an important research task in the field of computer vis...
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10/07/2019
Rekall: Specifying Video Events using Compositions of Spatiotemporal Labels
Many real-world video analysis applications require the ability to ident...
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09/17/2019
An Internal Learning Approach to Video Inpainting
We propose a novel video inpainting algorithm that simultaneously halluc...
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03/26/2019
Simple Applications of BERT for Ad Hoc Document Retrieval
Following recent successes in applying BERT to question answering, we ex...
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11/30/2018
TextureNet: Consistent Local Parametrizations for Learning from High-Resolution Signals on Meshes
We introduce, TextureNet, a neural network architecture designed to extr...
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11/18/2018
Exploit the Connectivity: Multi-Object Tracking with TrackletNet
Multi-object tracking (MOT) is an important and practical task related t...
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03/23/2018
Evaluating Sentence-Level Relevance Feedback for High-Recall Information Retrieval
This study uses a novel simulation framework to evaluate whether the tim...
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07/25/2017
Exploring the Effectiveness of Convolutional Neural Networks for Answer Selection in End-to-End Question Answering
Most work on natural language question answering today focuses on answer...
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07/25/2017