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- Cross-Modality Person Re-Identification With Shared-Specific Feature Transfer418
This paper proposes a novel cross-modality shared-specific feature transfer algorithm (termed cm-SSFT) to explore the potential of both the modality-shared information and themodality-specific characteristics to boost the reidentification performance.
- Online Multi-object Tracking Using CNN-Based Single Object Tracker with Spatial-Temporal Attention Mechanism391
A CNN-based framework for online MOT that utilizes the merits of single object trackers in adapting appearance models and searching for target in the next frame and introduces spatial-temporal attention mechanism (STAM) to handle the drift caused by occlusion and interaction among targets.
- Geometry Uncertainty Projection Network for Monocular 3D Object Detection316
A GUP Net is proposed to tackle the error amplification problem at both inference and training stages and can infer more reliable object depth than existing methods and outperforms the state-of-the-art image-based monocular 3D detectors.
- MiM-ISTD: Mamba-in-Mamba for Efficient Infrared Small-Target Detection227
Inspired by the recent basic model with linear complexity for long-distance modeling, Mamba, the potential of this state-space model (SSM) for ISTD tasks in terms of effectiveness and efficiency is explored.
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- GSM: Graph Similarity Model for Multi-Object Tracking130
This paper proposes a novel graph representation that takes both the feature of individual object and the relations among objects into consideration and, with the help of the graph representation and the graph matching module, the proposed graph similarity model is more robust to the occlusion and the targets sharing similar appearance.
- Temporal ROI Align for Video Object Recognition125
A novel Temporal ROI Align operator is proposed to extract features from other frames feature maps for current frame proposals by utilizing feature similarity, and can extract temporal information from the entire video for proposals.
- Efficient Semantic Image Synthesis via Class-Adaptive Normalization114
A truly spatially-adaptive variant of CLADE, namely CLADE-ICPE, which can be generalized to different SPADE-based methods while achieving comparable generation quality compared to SPADE, but it is much more efficient with fewer extra parameters and lower computational cost.
- Online multi-object tracking with unsupervised re-identification learning and occlusion estimation111
This study shows that, when applied to state-of-the-art MOT methods, the proposed unsupervised re-Identification learning is comparable to supervised re-identification learning, and the tracking performance is further improved by the proposed occlusion estimation module.
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- Reduce Information Loss in Transformers for Pluralistic Image Inpainting104
A patch-based auto-encoder P-VQVAE, where the encoder converts the masked image into non-overlapped patch tokens and the decoder recovers the masked regions from the inpainted tokens while keeping the unmasked regions unchanged is designed.
- Joint Color-irrelevant Consistency Learning and Identity-aware Modality Adaptation for Visible-infrared Cross Modality Person Re-identification98
This work proposes a novel approach to VI-ReID that learns the color-irrelevant features through the CICL and aligns the identity-level feature distributions by the Identity-aware modality adaptation (IAMA), which is integrated into a joint learning framework and can promote each other.
- Mining Contextual Information Beyond Image for Semantic Segmentation98
This paper proposes to mine the contextual information beyond individual images to further augment the pixel representations and proposes a representation consistent learning strategy to make the classification head better address intra-class compactness and inter-class dispersion.
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- Diverse Semantic Image Synthesis via Probability Distribution Modeling81
This paper proposes a novel diverse semantic image synthesis framework from the perspective of semantic class distributions, which naturally supports diverse generation at semantic or even instance level by modeling class-level conditional modulation parameters as continuous probability distributions instead of discrete values.
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- MichiGAN73
MichiGAN (Multi-Input-Conditioned Hair Image GAN), a novel conditional image generation method for interactive portrait hair manipulation that allows fully-conditioned hair generation from multiple user inputs, is presented.
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- Three-dimensional reconstruction using an adaptive simultaneous algebraic reconstruction technique in electron tomography47
Experimental results show that the proposed technique ASART is better based on objective quality measures than other methods, especially when data is noisy and limited in tilt angles, and outperforms that of simultaneous algebraic reconstruction technique (SART) in speed.
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- DASOT: A Unified Framework Integrating Data Association and Single Object Tracking for Online Multi-Object Tracking38
An efficient two-stage tracking method in the SOT branch, which utilizes the merits of correlation features and can simultaneously track all the existing targets within one forward propagation, is proposed.
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 2026-10-15. 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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