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09/18/2023
Pre-training on Synthetic Driving Data for Trajectory Prediction
Accumulating substantial volumes of real-world driving data proves pivot...
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06/29/2023
An Efficient General-Purpose Modular Vision Model via Multi-Task Heterogeneous Training
We present a model that can perform multiple vision tasks and can be ada...
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06/27/2023
Physion++: Evaluating Physical Scene Understanding that Requires Online Inference of Different Physical Properties
General physical scene understanding requires more than simply localizin...
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06/01/2023
Doubly Robust Self-Training
Self-training is an important technique for solving semi-supervised lear...
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04/27/2023
Quadric Representations for LiDAR Odometry, Mapping and Localization
Current LiDAR odometry, mapping and localization methods leverage point-...
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04/19/2023
EC^2: Emergent Communication for Embodied Control
Embodied control requires agents to leverage multi-modal pre-training to...
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04/07/2023
Embodied Concept Learner: Self-supervised Learning of Concepts and Mapping through Instruction Following
Humans, even at a very early age, can learn visual concepts and understa...
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04/06/2023
Visual Dependency Transformers: Dependency Tree Emerges from Reversed Attention
Humans possess a versatile mechanism for extracting structured represent...
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03/09/2023
Planning with Large Language Models for Code Generation
Existing large language model-based code generation pipelines typically ...
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02/03/2023
AdaptDiffuser: Diffusion Models as Adaptive Self-evolving Planners
Diffusion models have demonstrated their powerful generative capability ...
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12/15/2022
Mod-Squad: Designing Mixture of Experts As Modular Multi-Task Learners
Optimization in multi-task learning (MTL) is more challenging than singl...
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09/24/2022
NeRF-Loc: Transformer-Based Object Localization Within Neural Radiance Fields
Neural Radiance Fields (NeRFs) have been successfully used for scene rep...
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06/17/2022
CtrlFormer: Learning Transferable State Representation for Visual Control via Transformer
Transformer has achieved great successes in learning vision and language...
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05/02/2022
ComPhy: Compositional Physical Reasoning of Objects and Events from Videos
Objects' motions in nature are governed by complex interactions and thei...
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04/07/2022
DaViT: Dual Attention Vision Transformers
In this work, we introduce Dual Attention Vision Transformers (DaViT), a...
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02/07/2022
Context Autoencoder for Self-Supervised Representation Learning
We present a novel masked image modeling (MIM) approach, context autoenc...
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10/28/2021
Dynamic Visual Reasoning by Learning Differentiable Physics Models from Video and Language
In this work, we propose a unified framework, called Visual Reasoning wi...
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05/05/2021
PolarMask++: Enhanced Polar Representation for Single-Shot Instance Segmentation and Beyond
Reducing the complexity of the pipeline of instance segmentation is cruc...
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07/21/2020
Dense Hybrid Recurrent Multi-view Stereo Net with Dynamic Consistency Checking
In this paper, we propose an efficient and effective dense hybrid recurr...
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03/31/2020
Segmenting Transparent Objects in the Wild
Transparent objects such as windows and bottles made by glass widely exi...
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02/13/2020
SegVoxelNet: Exploring Semantic Context and Depth-aware Features for 3D Vehicle Detection from Point Cloud
3D vehicle detection based on point cloud is a challenging task in real-...
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12/10/2019
Learning Depth-Guided Convolutions for Monocular 3D Object Detection
3D object detection from a single image without LiDAR is a challenging t...
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12/06/2019
Pyramid Multi-view Stereo Net with Self-adaptive View Aggregation
In this paper, we propose an effective and efficient pyramid multi-view ...
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11/28/2019
Every Frame Counts: Joint Learning of Video Segmentation and Optical Flow
A major challenge for video semantic segmentation is the lack of labeled...
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12/11/2018
Face-Focused Cross-Stream Network for Deception Detection in Videos
Automated deception detection (ADD) from real-life videos is a challengi...
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10/19/2018
