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Found 25 papers, 10 papers with code
RoboMatrix: A Skill-centric Hierarchical Framework for Scalable Robot Task Planning and Execution in Open-World
To address this, we propose RoboMatrix, a skill-centric hierarchical framework designed for scalable robot task planning and execution in open-world environments.
RoboGSim: A Real2Sim2Real Robotic Gaussian Splatting Simulator
To address these limitations, we introduce the RoboGSim, a real2sim2real robotic simulator, powered by 3D Gaussian Splatting and the physics engine.
Super-resolving Real-world Image Illumination Enhancement: A New Dataset and A Conditional Diffusion Model
To solve this problem, we propose a SRRIIE dataset with an efficient conditional diffusion probabilistic models-based method.
Toward Robust Early Detection of Alzheimer's Disease via an Integrated Multimodal Learning Approach
Alzheimer's Disease (AD) is a complex neurodegenerative disorder marked by memory loss, executive dysfunction, and personality changes.
Panacea+: Panoramic and Controllable Video Generation for Autonomous Driving
The field of autonomous driving increasingly demands high-quality annotated video training data.
TC-KANRecon: High-Quality and Accelerated MRI Reconstruction via Adaptive KAN Mechanisms and Intelligent Feature Scaling
Moreover, the dynamic clipping strategy in TC-KANRecon adjusts the cropping interval according to the sampling steps, thereby mitigating image detail loss typicalching the visual features of the images.
GFE-Mamba: Mamba-based AD Multi-modal Progression Assessment via Generative Feature Extraction from MCI
The Mamba block, as the backbone of the classifier, enables it to efficiently extract information from long-sequence scale information.
SCKansformer: Fine-Grained Classification of Bone Marrow Cells via Kansformer Backbone and Hierarchical Attention Mechanisms
The model integrates the Kansformer Encoder, SCConv Encoder, and Global-Local Attention Encoder.
Is a 3D-Tokenized LLM the Key to Reliable Autonomous Driving?
Despite its simplicity, Atlas demonstrates superior performance in both 3D detection and ego planning tasks on nuScenes dataset, proving that 3D-tokenized LLM is the key to reliable autonomous driving.
The RoboDrive Challenge: Drive Anytime Anywhere in Any Condition
In the realm of autonomous driving, robust perception under out-of-distribution conditions is paramount for the safe deployment of vehicles.
SubjectDrive: Scaling Generative Data in Autonomous Driving via Subject Control
Autonomous driving progress relies on large-scale annotated datasets.
VJT: A Video Transformer on Joint Tasks of Deblurring, Low-light Enhancement and Denoising
Video restoration task aims to recover high-quality videos from low-quality observations.
Stream Query Denoising for Vectorized HD Map Construction
This paper introduces the Stream Query Denoising (SQD) strategy as a novel approach for temporal modeling in high-definition map (HD-map) construction.
Panacea: Panoramic and Controllable Video Generation for Autonomous Driving
This work notably propels the field of autonomous driving by effectively augmenting the training dataset used for advanced BEV perception techniques.
ADriver-I: A General World Model for Autonomous Driving
Based on the vision-action pairs, we construct a general world model based on MLLM and diffusion model for autonomous driving, termed ADriver-I.
VLM-Eval: A General Evaluation on Video Large Language Models
Despite the rapid development of video Large Language Models (LLMs), a comprehensive evaluation is still absent.
TopoMLP: A Simple yet Strong Pipeline for Driving Topology Reasoning
Further, we propose TopoMLP, a simple yet high-performance pipeline for driving topology reasoning.
Ranked #5 on
3D Lane Detection
on OpenLane-V2 val
Far3D: Expanding the Horizon for Surround-view 3D Object Detection
Recently 3D object detection from surround-view images has made notable advancements with its low deployment cost.
Ranked #1 on
3D Object Detection
on nuScenes Camera Only
The 1st-place Solution for CVPR 2023 OpenLane Topology in Autonomous Driving Challenge
We present the 1st-place solution of OpenLane Topology in Autonomous Driving Challenge.
Cross Modal Transformer: Towards Fast and Robust 3D Object Detection
In this paper, we propose a robust 3D detector, named Cross Modal Transformer (CMT), for end-to-end 3D multi-modal detection.
PETRv2: A Unified Framework for 3D Perception from Multi-Camera Images
More specifically, we extend the 3D position embedding (3D PE) in PETR for temporal modeling.
Ranked #2 on
Bird's-Eye View Semantic Segmentation
on nuScenes
(IoU lane - 224x480 - 100x100 at 0.5 metric)
Adaptive Agent Architecture for Real-time Human-Agent Teaming
Previous human-human team research have shown complementary policies in TSF game and diversity in human players' skill, which encourages us to relax the assumptions on human policy.
A Regularized Convolutional Neural Network for Semantic Image Segmentation
That is, spatial regularity of the segmented objects is still a problem for CNNs.
Multi-label Learning with Missing Labels using Mixed Dependency Graphs
This work focuses on the problem of multi-label learning with missing labels (MLML), which aims to label each test instance with multiple class labels given training instances that have an incomplete/partial set of these labels.
Diverse Image Annotation
To this end, we treat the image annotation as a subset selection problem based on the conditional determinantal point process (DPP) model, which formulates the representation and diversity jointly.
