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Found 16 papers, 13 papers with code
GenMapping: Unleashing the Potential of Inverse Perspective Mapping for Robust Online HD Map Construction
The framework is established with a triadic synergy architecture, including principal and dual auxiliary branches.
Learning Granularity-Aware Affordances from Human-Object Interaction for Tool-Based Functional Grasping in Dexterous Robotics
To address this, we propose a granularity-aware affordance feature extraction method for locating functional affordance areas and predicting dexterous coarse gestures.
DTCLMapper: Dual Temporal Consistent Learning for Vectorized HD Map Construction
In this paper, we revisit the temporal fusion of vectorized HD maps, focusing on temporal instance consistency and temporal map consistency learning.
MambaMOS: LiDAR-based 3D Moving Object Segmentation with Motion-aware State Space Model
In this paper, we propose a novel LiDAR-based 3D Moving Object Segmentation with Motion-aware State Space Model, termed MambaMOS.
EchoTrack: Auditory Referring Multi-Object Tracking for Autonomous Driving
This paper introduces the task of Auditory Referring Multi-Object Tracking (AR-MOT), which dynamically tracks specific objects in a video sequence based on audio expressions and appears as a challenging problem in autonomous driving.
LF Tracy: A Unified Single-Pipeline Approach for Salient Object Detection in Light Field Cameras
Research on inter-network data connectivity is scant.
Zero-Shot Structure-Preserving Diffusion Model for High Dynamic Range Tone Mapping
However obtaining paired HDR and high-quality LDR images is difficult posing a challenge to deep learning based tone mapping methods.
S$^3$-MonoDETR: Supervised Shape&Scale-perceptive Deformable Transformer for Monocular 3D Object Detection
These methods typically use visual and depth representations to generate query points on objects, whose quality plays a decisive role in the detection accuracy.
EPCFormer: Expression Prompt Collaboration Transformer for Universal Referring Video Object Segmentation
Next, we propose an Expression Alignment (EA) mechanism for audio and text expressions.
Contrast-augmented Diffusion Model with Fine-grained Sequence Alignment for Markup-to-Image Generation
The recently rising markup-to-image generation poses greater challenges as compared to natural image generation, due to its low tolerance for errors as well as the complex sequence and context correlations between markup and rendered image.
VPUFormer: Visual Prompt Unified Transformer for Interactive Image Segmentation
Specifically, we design a Prompt-unified Encoder (PuE) by using Gaussian mapping to generate a unified one-dimensional vector for click, box, and scribble prompts, which well captures users' intentions as well as provides a denser representation of user prompts.
SSD-MonoDETR: Supervised Scale-aware Deformable Transformer for Monocular 3D Object Detection
To tackle this problem, this paper proposes a novel "Supervised Scale-aware Deformable Attention" (SSDA) for monocular 3D object detection.
AdaptiveClick: Clicks-aware Transformer with Adaptive Focal Loss for Interactive Image Segmentation
Interactive Image Segmentation (IIS) has emerged as a promising technique for decreasing annotation time.
Bi-Mapper: Holistic BEV Semantic Mapping for Autonomous Driving
At the same time, an Across-Space Loss (ASL) is designed to mitigate the negative impact of geometric distortions.
Energy-efficient Dense DNN Acceleration with Signed Bit-slice Architecture
This paper proposes energy-efficient signed bit-slice architecture which accelerates both high-precision and dense DNNs by exploiting a large number of zero values of signed bit-slices.
STURE: Spatial-Temporal Mutual Representation Learning for Robust Data Association in Online Multi-Object Tracking
The feature difference between current candidate detections and historical tracklets makes the object association much harder.
