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08/15/2023
A^2Nav: Action-Aware Zero-Shot Robot Navigation by Exploiting Vision-and-Language Ability of Foundation Models
We study the task of zero-shot vision-and-language navigation (ZS-VLN), ...
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07/22/2023
Learning Vision-and-Language Navigation from YouTube Videos
Vision-and-language navigation (VLN) requires an embodied agent to navig...
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03/24/2023
Hard Sample Matters a Lot in Zero-Shot Quantization
Zero-shot quantization (ZSQ) is promising for compressing and accelerati...
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03/21/2023
Detecting the open-world objects with the help of the Brain
Open World Object Detection (OWOD) is a novel computer vision task with ...
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02/28/2023
LIO-PPF: Fast LiDAR-Inertial Odometry via Incremental Plane Pre-Fitting and Skeleton Tracking
As a crucial infrastructure of intelligent mobile robots, LiDAR-Inertial...
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01/26/2023
Revisiting Temporal Modeling for CLIP-based Image-to-Video Knowledge Transferring
Image-text pretrained models, e.g., CLIP, have shown impressive general ...
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01/05/2023
CAT: LoCalization and IdentificAtion Cascade Detection Transformer for Open-World Object Detection
Open-world object detection (OWOD), as a more general and challenging go...
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10/14/2022
Weakly-Supervised Multi-Granularity Map Learning for Vision-and-Language Navigation
We address a practical yet challenging problem of training robot agents ...
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10/14/2022
Learning Active Camera for Multi-Object Navigation
Getting robots to navigate to multiple objects autonomously is essential...
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10/12/2022
M^3Video: Masked Motion Modeling for Self-Supervised Video Representation Learning
We study self-supervised video representation learning that seeks to lea...
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10/11/2022
Frequency-Aware Self-Supervised Monocular Depth Estimation
We present two versatile methods to generally enhance self-supervised mo...
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10/02/2022
Self-Supervised Monocular Depth Estimation: Solving the Edge-Fattening Problem
Self-supervised monocular depth estimation (MDE) models universally suff...
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04/29/2022
Deep Geometry Post-Processing for Decompressed Point Clouds
Point cloud compression plays a crucial role in reducing the huge cost o...
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04/13/2022
Neural Texture Extraction and Distribution for Controllable Person Image Synthesis
We deal with the controllable person image synthesis task which aims to ...
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09/17/2021
PIRenderer: Controllable Portrait Image Generation via Semantic Neural Rendering
Generating portrait images by controlling the motions of existing faces ...
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08/04/2021
Combining Attention with Flow for Person Image Synthesis
Pose-guided person image synthesis aims to synthesize person images by t...
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08/27/2020
Deep Spatial Transformation for Pose-Guided Person Image Generation and Animation
Pose-guided person image generation and animation aim to transform a sou...
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03/02/2020
Deep Image Spatial Transformation for Person Image Generation
Pose-guided person image generation is to transform a source person imag...
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08/11/2019
StructureFlow: Image Inpainting via Structure-aware Appearance Flow
Image inpainting techniques have shown significant improvements by using...
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04/18/2019
Deep AutoEncoder-based Lossy Geometry Compression for Point Clouds
Point cloud is a fundamental 3D representation which is widely used in r...
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03/18/2019
Graph Convolutional Label Noise Cleaner: Train a Plug-and-play Action Classifier for Anomaly Detection
Video anomaly detection under weak labels is formulated as a typical mul...
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07/09/2018
Step-by-step Erasion, One-by-one Collection: A Weakly Supervised Temporal Action Detector
Weakly supervised temporal action detection is a Herculean task in under...
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05/14/2018
Exploiting the Value of the Center-dark Channel Prior for Salient Object Detection
Saliency detection aims to detect the most attractive objects in images ...
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03/23/2018
