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08/28/2023
Priority-Centric Human Motion Generation in Discrete Latent Space
Text-to-motion generation is a formidable task, aiming to produce human ...
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08/23/2023
SG-Former: Self-guided Transformer with Evolving Token Reallocation
Vision Transformer has demonstrated impressive success across various vi...
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08/21/2023
Diffusion Model as Representation Learner
Diffusion Probabilistic Models (DPMs) have recently demonstrated impress...
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08/18/2023
Diffusion Models for Image Restoration and Enhancement – A Comprehensive Survey
Image restoration (IR) has been an indispensable and challenging task in...
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08/17/2023
Auxiliary Tasks Benefit 3D Skeleton-based Human Motion Prediction
Exploring spatial-temporal dependencies from observed motions is one of ...
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08/08/2023
PARTNER: Level up the Polar Representation for LiDAR 3D Object Detection
Recently, polar-based representation has shown promising properties in p...
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07/14/2023
PseudoCal: A Source-Free Approach to Unsupervised Uncertainty Calibration in Domain Adaptation
Unsupervised domain adaptation (UDA) has witnessed remarkable advancemen...
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06/14/2023
Distribution Shift Inversion for Out-of-Distribution Prediction
Machine learning society has witnessed the emergence of a myriad of Out-...
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06/03/2023
Efficient Multi-Grained Knowledge Reuse for Class Incremental Segmentation
Class Incremental Semantic Segmentation (CISS) has been a trend recently...
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05/19/2023
LLM-Pruner: On the Structural Pruning of Large Language Models
Large language models (LLMs) have shown remarkable capabilities in langu...
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05/18/2023
Structural Pruning for Diffusion Models
Generative modeling has recently undergone remarkable advancements, prim...
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05/11/2023
Can SAM Boost Video Super-Resolution?
The primary challenge in video super-resolution (VSR) is to handle large...
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04/28/2023
Deep Graph Reprogramming
In this paper, we explore a novel model reusing task tailored for graph ...
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04/24/2023
Master: Meta Style Transformer for Controllable Zero-Shot and Few-Shot Artistic Style Transfer
Transformer-based models achieve favorable performance in artistic style...
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04/23/2023
Segment Anything in Non-Euclidean Domains: Challenges and Opportunities
The recent work known as Segment Anything (SA) has made significant stri...
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04/19/2023
Anything-3D: Towards Single-view Anything Reconstruction in the Wild
3D reconstruction from a single-RGB image in unconstrained real-world sc...
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04/19/2023
Any-to-Any Style Transfer: Making Picasso and Da Vinci Collaborate
Style transfer aims to render the style of a given image for style refer...
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04/15/2023
Temporal Aggregation and Propagation Graph Neural Networks for Dynamic Representation
Temporal graphs exhibit dynamic interactions between nodes over continuo...
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04/05/2023
TM2D: Bimodality Driven 3D Dance Generation via Music-Text Integration
We propose a novel task for generating 3D dance movements that simultane...
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03/20/2023
EqMotion: Equivariant Multi-agent Motion Prediction with Invariant Interaction Reasoning
Learning to predict agent motions with relationship reasoning is importa...
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03/19/2023
Partial Network Cloning
In this paper, we study a novel task that enables partial knowledge tran...
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01/30/2023
DepGraph: Towards Any Structural Pruning
Structural pruning enables model acceleration by removing structurally-g...
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01/17/2023
Dataset Distillation: A Comprehensive Review
Recent success of deep learning can be largely attributed to the huge am...
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11/27/2022
Diffusion Probabilistic Model Made Slim
Despite the recent visually-pleasing results achieved, the massive compu...
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11/18/2022
Task Residual for Tuning Vision-Language Models
Large-scale vision-language models (VLMs) pre-trained on billion-level d...
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10/30/2022
Dataset Distillation via Factorization
In this paper, we study \xw{dataset distillation (DD)}, from a novel per...
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10/24/2022
Reachability-Aware Laplacian Representation in Reinforcement Learning
In Reinforcement Learning (RL), Laplacian Representation (LapRep) is a t...
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10/17/2022
Scaling Shifting Your Features: A New Baseline for Efficient Model Tuning
Existing fine-tuning methods either tune all parameters of the pre-train...
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10/10/2022
Training Spiking Neural Networks with Local Tandem Learning
Spiking neural networks (SNNs) are shown to be more biologically plausib...
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10/09/2022
Attention Diversification for Domain Generalization
Convolutional neural networks (CNNs) have demonstrated gratifying result...
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08/25/2022
Bottom-Up 2D Pose Estimation via Dual Anatomical Centers for Small-Scale Persons
In multi-person 2D pose estimation, the bottom-up methods simultaneously...
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08/01/2022
AvatarGen: a 3D Generative Model for Animatable Human Avatars
Unsupervised generation of clothed virtual humans with various appearanc...
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07/27/2022
Federated Selective Aggregation for Knowledge Amalgamation
In this paper, we explore a new knowledge-amalgamation problem, termed F...
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07/24/2022
Hierarchical Semi-Supervised Contrastive Learning for Contamination-Resistant Anomaly Detection
Anomaly detection aims at identifying deviant samples from the normal da...
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07/24/2022
Learning Graph Neural Networks for Image Style Transfer
State-of-the-art parametric and non-parametric style transfer approaches...
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07/17/2022
Learning with Recoverable Forgetting
Life-long learning aims at learning a sequence of tasks without forgetti...
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07/13/2022
DynaST: Dynamic Sparse Transformer for Exemplar-Guided Image Generation
One key challenge of exemplar-guided image generation lies in establishi...
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07/05/2022
Ask-AC: An Initiative Advisor-in-the-Loop Actor-Critic Framework
Despite the promising results achieved, state-of-the-art interactive rei...
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07/04/2022
Factorizing Knowledge in Neural Networks
In this paper, we explore a novel and ambitious knowledge-transfer task,...
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06/14/2022
Slimmable Domain Adaptation
Vanilla unsupervised domain adaptation methods tend to optimize the mode...
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06/13/2022
Learning Domain Adaptive Object Detection with Probabilistic Teacher
Self-training for unsupervised domain adaptive object detection is a cha...
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05/23/2022
Tyger: Task-Type-Generic Active Learning for Molecular Property Prediction
How to accurately predict the properties of molecules is an essential pr...
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05/23/2022
FaceMAE: Privacy-Preserving Face Recognition via Masked Autoencoders
Face recognition, as one of the most successful applications in artifici...
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05/16/2022
Prompting to Distill: Boosting Data-Free Knowledge Distillation via Reinforced Prompt
Data-free knowledge distillation (DFKD) conducts knowledge distillation ...
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04/30/2022
Reliable Label Correction is a Good Booster When Learning with Extremely Noisy Labels
Learning with noisy labels has aroused much research interest since data...
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03/29/2022
PoseTriplet: Co-evolving 3D Human Pose Estimation, Imitation, and Hallucination under Self-supervision
Existing self-supervised 3D human pose estimation schemes have largely r...
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03/25/2022
Point2Seq: Detecting 3D Objects as Sequences
We present a simple and effective framework, named Point2Seq, for 3D obj...
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03/03/2022
CAFE: Learning to Condense Dataset by Aligning Features
Dataset condensation aims at reducing the network training effort throug...
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12/21/2021
PONet: Robust 3D Human Pose Estimation via Learning Orientations Only
Conventional 3D human pose estimation relies on first detecting 2D body ...
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12/12/2021
