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09/20/2023
StructChart: Perception, Structuring, Reasoning for Visual Chart Understanding
Charts are common in literature across different scientific fields, conv...
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09/19/2023
SPOT: Scalable 3D Pre-training via Occupancy Prediction for Autonomous Driving
Annotating 3D LiDAR point clouds for perception tasks including 3D objec...
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08/30/2023
FPTQ: Fine-grained Post-Training Quantization for Large Language Models
In the era of large-scale language models, the substantial parameter siz...
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08/19/2023
ControlCom: Controllable Image Composition using Diffusion Model
Image composition targets at synthesizing a realistic composite image fr...
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08/09/2023
Foreground Object Search by Distilling Composite Image Feature
Foreground object search (FOS) aims to find compatible foreground object...
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07/08/2023
Large Language Models for Supply Chain Optimization
Supply chain operations traditionally involve a variety of complex decis...
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04/03/2023
Generative Diffusion Prior for Unified Image Restoration and Enhancement
Existing image restoration methods mostly leverage the posterior distrib...
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03/24/2023
Make-It-3D: High-Fidelity 3D Creation from A Single Image with Diffusion Prior
In this work, we investigate the problem of creating high-fidelity 3D co...
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03/23/2023
MMFormer: Multimodal Transformer Using Multiscale Self-Attention for Remote Sensing Image Classification
To benefit the complementary information between heterogeneous data, we ...
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03/04/2023
A Nyström method for scattering by a two-layered medium with a rough boundary
This paper presents a study on the integral equation method and the Nyst...
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01/13/2023
YOLOv6 v3.0: A Full-Scale Reloading
The YOLO community has been in high spirits since our first two releases...
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12/20/2022
ADAS: A Simple Active-and-Adaptive Baseline for Cross-Domain 3D Semantic Segmentation
State-of-the-art 3D semantic segmentation models are trained on the off-...
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11/23/2022
Paint by Example: Exemplar-based Image Editing with Diffusion Models
Language-guided image editing has achieved great success recently. In th...
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10/09/2022
Improve Transformer Pre-Training with Decoupled Directional Relative Position Encoding and Representation Differentiations
In this work, we revisit the Transformer-based pre-trained language mode...
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09/07/2022
YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications
For years, the YOLO series has been the de facto industry-level standard...
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07/26/2022
Reconstruction of inhomogeneous media by iterative reconstruction algorithm with learned projector
This paper is concerned with the inverse problem of scattering of time-h...
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06/12/2022
Consistent Attack: Universal Adversarial Perturbation on Embodied Vision Navigation
Embodied agents in vision navigation coupled with deep neural networks h...
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01/17/2022
Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models
Diffusion probabilistic models (DPMs) represent a class of powerful gene...
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06/30/2021
Understanding Adversarial Attacks on Observations in Deep Reinforcement Learning
Recent works demonstrate that deep reinforcement learning (DRL) models a...
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06/28/2021
Making Images Real Again: A Comprehensive Survey on Deep Image Composition
As a common image editing operation, image composition aims to cut the f...
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04/14/2021
Meaningful Adversarial Stickers for Face Recognition in Physical World
Face recognition (FR) systems have been widely applied in safety-critica...
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04/07/2021
Image Composition Assessment with Saliency-augmented Multi-pattern Pooling
Image composition assessment is crucial in aesthetic assessment, which a...
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02/22/2021
Do We Really Need Explicit Position Encodings for Vision Transformers?
Almost all visual transformers such as ViT or DeiT rely on predefined po...
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09/14/2020
Old Photo Restoration via Deep Latent Space Translation
We propose to restore old photos that suffer from severe degradation thr...
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08/10/2020
Deep Sketch-guided Cartoon Video Synthesis
We propose a novel framework to produce cartoon videos by fetching the c...
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04/20/2020
Bringing Old Photos Back to Life
We propose to restore old photos that suffer from severe degradation thr...
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02/29/2020
Performance Analysis and Optimization in Privacy-Preserving Federated Learning
As a means of decentralized machine learning, federated learning (FL) ha...
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12/20/2019
Triple Generative Adversarial Networks
Generative adversarial networks (GANs) have shown promise in image gener...
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08/04/2019
MoGA: Searching Beyond MobileNetV3
The evolution of MobileNets has laid a solid foundation for neural netwo...
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06/19/2019
LIA: Latently Invertible Autoencoder with Adversarial Learning
Deep generative models play an increasingly important role in machine le...
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07/10/2018
Learning Implicit Generative Models by Teaching Explicit Ones
Implicit generative models are difficult to train as no explicit probabi...
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11/13/2017
