research
∙
05/25/2023
Uncovering and Categorizing Social Biases in Text-to-SQL
Content Warning: This work contains examples that potentially implicate ...
share
research
∙
05/25/2023
Interactive Segment Anything NeRF with Feature Imitation
This paper investigates the potential of enhancing Neural Radiance Field...
research
∙
05/24/2023
Uncovering and Quantifying Social Biases in Code Generation
With the popularity of automatic code generation tools, such as Copilot,...
research
∙
05/18/2023
VisionLLM: Large Language Model is also an Open-Ended Decoder for Vision-Centric Tasks
Large language models (LLMs) have notably accelerated progress towards a...
research
∙
03/20/2023
Real-time Semantic Scene Completion Via Feature Aggregation and Conditioned Prediction
Semantic Scene Completion (SSC) aims to simultaneously predict the volum...
research
∙
03/03/2023
Delicate Textured Mesh Recovery from NeRF via Adaptive Surface Refinement
Neural Radiance Fields (NeRF) have constituted a remarkable breakthrough...
research
∙
02/21/2023
Parallel Sentence-Level Explanation Generation for Real-World Low-Resource Scenarios
In order to reveal the rationale behind model predictions, many works ha...
research
∙
11/22/2022
Real-time Neural Radiance Talking Portrait Synthesis via Audio-spatial Decomposition
While dynamic Neural Radiance Fields (NeRF) have shown success in high-f...
research
∙
11/17/2022
CAE v2: Context Autoencoder with CLIP Target
Masked image modeling (MIM) learns visual representation by masking and ...
research
∙
11/17/2022
D^3ETR: Decoder Distillation for Detection Transformer
While various knowledge distillation (KD) methods in CNN-based detectors...
research
∙
11/07/2022
Group DETR v2: Strong Object Detector with Encoder-Decoder Pretraining
We present a strong object detector with encoder-decoder pretraining and...
research
∙
07/26/2022
Group DETR: Fast Training Convergence with Decoupled One-to-Many Label Assignment
Detection Transformer (DETR) relies on One-to-One label assignment, i.e....
research
∙
07/18/2022
Conditional DETR V2: Efficient Detection Transformer with Box Queries
In this paper, we are interested in Detection Transformer (DETR), an end...
research
∙
05/30/2022
Compressible-composable NeRF via Rank-residual Decomposition
Neural Radiance Field (NeRF) has emerged as a compelling method to repre...
research
∙
03/31/2022
Point Scene Understanding via Disentangled Instance Mesh Reconstruction
Semantic scene reconstruction from point cloud is an essential and chall...
research
∙
03/28/2022
MaskGroup: Hierarchical Point Grouping and Masking for 3D Instance Segmentation
This paper studies the 3D instance segmentation problem, which has a var...
research
∙
02/07/2022
Context Autoencoder for Self-Supervised Representation Learning
We present a novel masked image modeling (MIM) approach, context autoenc...
research
∙
12/24/2021
Not All Voxels Are Equal: Semantic Scene Completion from the Point-Voxel Perspective
We revisit Semantic Scene Completion (SSC), a useful task to predict the...
research
∙
07/19/2021
Joint Implicit Image Function for Guided Depth Super-Resolution
Guided depth super-resolution is a practical task where a low-resolution...
research
∙
07/17/2020
Bi-directional Cross-Modality Feature Propagation with Separation-and-Aggregation Gate for RGB-D Semantic Segmentation
Depth information has proven to be a useful cue in the semantic segmenta...
research
∙
03/31/2020
