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09/18/2023
Robust Geometry-Preserving Depth Estimation Using Differentiable Rendering
In this study, we address the challenge of 3D scene structure recovery f...
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08/20/2023
StableLLaVA: Enhanced Visual Instruction Tuning with Synthesized Image-Dialogue Data
The remarkable multimodal capabilities demonstrated by OpenAI's GPT-4 ha...
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08/14/2023
ICPC: Instance-Conditioned Prompting with Contrastive Learning for Semantic Segmentation
Modern supervised semantic segmentation methods are usually finetuned ba...
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08/04/2023
ES-MVSNet: Efficient Framework for End-to-end Self-supervised Multi-View Stereo
Compared to the multi-stage self-supervised multi-view stereo (MVS) meth...
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07/27/2023
Improved Neural Radiance Fields Using Pseudo-depth and Fusion
Since the advent of Neural Radiance Fields, novel view synthesis has rec...
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06/05/2023
SwinRDM: Integrate SwinRNN with Diffusion Model towards High-Resolution and High-Quality Weather Forecasting
Data-driven medium-range weather forecasting has attracted much attentio...
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04/26/2023
UniNeXt: Exploring A Unified Architecture for Vision Recognition
Vision Transformers have shown great potential in computer vision tasks....
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03/01/2023
D2Q-DETR: Decoupling and Dynamic Queries for Oriented Object Detection with Transformers
Despite the promising results, existing oriented object detection method...
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02/28/2023
Foundation Model Drives Weakly Incremental Learning for Semantic Segmentation
Modern incremental learning for semantic segmentation methods usually le...
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02/27/2023
LMSeg: Language-guided Multi-dataset Segmentation
It's a meaningful and attractive topic to build a general and inclusive ...
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11/03/2022
PolyBuilding: Polygon Transformer for End-to-End Building Extraction
We present PolyBuilding, a fully end-to-end polygon Transformer for buil...
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10/19/2022
Over-the-Air Computation: Foundations, Technologies, and Applications
The rapid advancement of artificial intelligence technologies has given ...
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10/18/2022
Hierarchical Normalization for Robust Monocular Depth Estimation
In this paper, we address monocular depth estimation with deep neural ne...
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09/07/2022
MimCo: Masked Image Modeling Pre-training with Contrastive Teacher
Recent masked image modeling (MIM) has received much attention in self-s...
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08/02/2022
Implicit Semantic Augmentation for Distance Metric Learning in Domain Generalization
Domain generalization (DG) aims to learn a model on one or more differen...
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06/06/2022
Interference Management for Over-the-Air Federated Learning in Multi-Cell Wireless Networks
Federated learning (FL) over resource-constrained wireless networks has ...
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06/01/2022
Point-Teaching: Weakly Semi-Supervised Object Detection with Point Annotations
Point annotations are considerably more time-efficient than bounding box...
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05/28/2022
Point RCNN: An Angle-Free Framework for Rotated Object Detection
Rotated object detection in aerial images is still challenging due to ar...
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05/26/2022
SwinVRNN: A Data-Driven Ensemble Forecasting Model via Learned Distribution Perturbation
Data-driven approaches for medium-range weather forecasting are recently...
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01/19/2022
Poseur: Direct Human Pose Regression with Transformers
We propose a direct, regression-based approach to 2D human pose estimati...
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03/29/2021
TFPose: Direct Human Pose Estimation with Transformers
We propose a human pose estimation framework that solves the task in the...
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03/21/2021
Instant-Teaching: An End-to-End Semi-Supervised Object Detection Framework
Supervised learning based object detection frameworks demand plenty of l...
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03/14/2021
TRUST: Triangle Counting Reloaded on GPUs
Triangle counting is a building block for a wide range of graph applicat...
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01/28/2021
Object Detection Made Simpler by Eliminating Heuristic NMS
We show a simple NMS-free, end-to-end object detection framework, of whi...
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11/10/2020