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Works89 from public data
- Multi-View Image Generation from a Single-View193
This paper proposes a novel image generation model termed VariGANs, which combines the merits of the variational inference and the Generative Adversarial Networks (GANs), and generates the target image in a coarse-to-fine manner instead of a single pass which suffers from severe artifacts.
- 183
- Learning Spatial Awareness to Improve Crowd Counting149
A novel architecture called SPatial Awareness Network (SPANet) to incorporate spatial context for crowd counting is presented, and the Maximum Excess over Pixels (MEP) loss is proposed to achieve this by finding the pixel-level subregion with high discrepancy to the ground truth.
- DB-LSTM: Densely-connected Bi-directional LSTM for human action recognition141
A Densely-connected Bi-directional LSTM (DB-LSTM) network is proposed to model the visual and temporal associations in both forward and backward directions to boost the effectiveness and robustness of modeling long-range action recognition.
- Rethinking Spatial Invariance of Convolutional Networks for Object Counting140
Inspired by previous work, this work proposes a low-rank approximation accompanied with translation invariance to favorably implement the approximation of massive Gaussian convolution to improve the spatial invariance of convolutional networks.
- StableAnimator: High-Quality Identity-Preserving Human Image Animation114
StableAnimator is presented, the first end-to-end ID-preserving video diffusion framework, which synthesizes high-quality videos without any post-processing, conditioned on a reference image and a sequence of poses.
- Hypergraph Transformer for Skeleton-based Action Recognition111
An underlying issue of graph models in general, i.e., pairwise aggregation essentially ignores the high-order kinematic dependencies between body joints is revealed, and a new self-attention mechanism on hypergraph is proposed, termed Hypergraph Self-Attention (HyperSA), to incorporate intrinsic higher-order relations into the model.
- 105
- Improving the Learning of Multi-column Convolutional Neural Network for Crowd Counting102
Extensive experiments on four challenging benchmarks show that McML can significantly improve the original multi-column networks and outperform the other state-of-the-art approaches.
- Video2Shop: Exact Matching Clothes in Videos to Online Shopping Images90
A novel deep neural network is proposed to explore a new cross-domain task, Video2Shop, targeting for matching clothes appeared in videos to the exactly same items in online shops, which outperforms the state-of-the-art methods.
- MotionEditor: Editing Video Motion via Content-Aware Diffusion84
MotionEditor is the first to use diffusion models specifically for video motion editing, considering the origin dynamic background and camera movement, and incorporates a novel content-aware motion adapter into ControlNet to capture temporal motion correspondence.
- Implicit Temporal Modeling with Learnable Alignment for Video Recognition72
This paper proposes a novel Implicit Learnable Alignment (ILA) method, which minimizes the temporal modeling effort while achieving incredibly high performance and allows eliminating the costly or insufficient temporal self-attention in video.
- 71
- Procontext: Exploring Progressive Context Transformer for Tracking65
This work revamped the tracking framework with Progressive Context Encoding Transformer Tracker (ProContEXT), which coherently exploits spatial and temporal contexts to predict object motion trajectories and raises a new pathway to multi-context modeling for transformer-based trackers.
- GNAS61
This work proposes an efficient greedy neural architecture search approach (GNAS) to automatically discover the optimal tree-like deep architecture for multi-attribute learning and demonstrates the effectiveness and compactness of neural architectures derived by GNAS.
- 59
- Personalized clothing recommendation combining user social circle and fashion style consistency52
Three social factors (i.e., personal interest, interpersonal interest similarity and interpersonal influence) and fashion style consistency are fused into a unified personalized recommendation model based on probabilistic matrix factorization (PMF).
- GSRFormer: Grounded Situation Recognition Transformer with Alternate Semantic Attention Refinement48
A novel two-stage framework that focuses on utilizing bidirectional relations within verbs and roles is proposed, and extensive experimental results show that the renovated framework outperforms other state-of-the-art methods under various metrics.
- Video eCommerce47
An advertising system named Video eCommerce to exhibit appropriate product ads to particular users at proper time stamps of videos, which takes into account video semantics, user shopping preference and viewing behavior feedback by a two-level strategy is proposed.
- VIREO @ TRECVID 2017: Video-to-Text, Ad-hoc Video Search, and Video hyperlinking.45
The systems developed for Video-to-Text (VTT), Ad-hoc Video Search (AVS) and Video Hyper-linking (LNK) tasks at TRECVID 2017 and the achieved results are described.
- DCPT: Darkness Clue-Prompted Tracking in Nighttime UAVs39
A novel architecture called Darkness Clue-Prompted Tracking (DCPT) is proposed that achieves robust UAV tracking at night by efficiently learning to generate darkness clue prompts and efficiently injects anti-dark knowledge without extra modules.
- ChartReader: A Unified Framework for Chart Derendering and Comprehension without Heuristic Rules39
The proposed framework can significantly reduce the manual effort involved in chart analysis, providing a step towards a universal chart understanding model and offers opportunities for plug-and-play integration with mainstream LLMs such as T5 and TaPas, extending their capability to chart comprehension tasks.
- Tracking with Human-Intent Reasoning39
This work proposes a tracker called TrackGPT, which is capable of performing complex reasoning-based tracking, which uses LVLM to understand tracking instructions and condense the cues of what target to track into referring embeddings and generates the tracking results based on the embeddings.
- Generating Person Images with Appearance-aware Pose Stylizer36
A novel end-to-end framework to generate realistic person images based on given person poses and appearances called Appearance-aware Pose Stylizer (APS) which generates human images by coupling the target pose with the conditioned person appearance progressively.
- MotionFollower: Editing Video Motion via Lightweight Score-Guided Diffusion35
The proposed MotionFollower is a lightweight score-guided diffusion model for video motion editing that achieves an approximately 80% reduction in GPU memory while delivering superior motion editing performance and exclusively supporting large camera movements and actions.
Publication data from OpenAlex, with missing venues and authors filled in from Crossref; citation counts are the higher of OpenAlex and Semantic Scholar, last synced 2026-10-12. One-sentence summaries under some papers are written by Semantic Scholar’s model. Citation counts may be lower than on Google Scholar, which indexes more sources.
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