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Found 13 papers, 6 papers with code
Grounding and Enhancing Grid-based Models for Neural Fields
Many contemporary studies utilize grid-based models for neural field representation, but a systematic analysis of grid-based models is still missing, hindering the improvement of those models.
CodeFuse-13B: A Pretrained Multi-lingual Code Large Language Model
It is specifically designed for code-related tasks with both English and Chinese prompts and supports over 40 programming languages.
End-to-end View Synthesis via NeRF Attention
On the one hand, NeRFA considers the volumetric rendering equation as a soft feature modulation procedure.
Tracking Objects as Pixel-wise Distributions
During inference, a pixel-wise association procedure is proposed to recover object connections through frames based on the pixel-wise prediction.
Learning Temporal Rules from Noisy Timeseries Data
Events across a timeline are a common data representation, seen in different temporal modalities.
Novel Symmetry-preserving Neural Network Model for Phylogenetic Inference
Scientists world-wide are putting together massive efforts to understand how the biodiversity that we see on Earth evolved from single-cell organisms at the origin of life and this diversification process is represented through the Tree of Life.
ProTo: Program-Guided Transformer for Program-Guided Tasks
Furthermore, we propose the Program-guided Transformer (ProTo), which integrates both semantic and structural guidance of a program by leveraging cross-attention and masked self-attention to pass messages between the specification and routines in the program.
Ranked #1 on
Visual Question Answering (VQA)
on GQA test-std
Neural Temporal Logic Programming
Events across a timeline are a common data representation, seen in different temporal modalities.
How to Design Sample and Computationally Efficient VQA Models
In multi-modal reasoning tasks, such as visual question answering (VQA), there have been many modeling and training paradigms tested.
Differentiable End-to-End Program Executor for Sample and Computationally Efficient VQA
We present a differentiable end-to-end program executor (DePe), which addresses Visual Question Answering (VQA) in a sample and computationally efficient manner.
Augmenting Policy Learning with Routines Discovered from a Single Demonstration
Humans can abstract prior knowledge from very little data and use it to boost skill learning.
Estimating 6D Pose From Localizing Designated Surface Keypoints
In this paper, we present an accurate yet effective solution for 6D pose estimation from an RGB image.
Ranked #17 on
6D Pose Estimation using RGB
on LineMOD
PointSIFT: A SIFT-like Network Module for 3D Point Cloud Semantic Segmentation
Recently, 3D understanding research sheds light on extracting features from point cloud directly, which requires effective shape pattern description of point clouds.
